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    "# Posterior predictive checks\n",
    "\n",
    "**[Data set download](https://s3.amazonaws.com/bebi103.caltech.edu/data/good_invitro_droplet_data.csv)**\n",
    "\n",
    "<hr>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import cmdstanpy\n",
    "import arviz as az\n",
    "\n",
    "import bebi103\n",
    "\n",
    "import bokeh.io\n",
    "bokeh.io.output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The approach to prior predictive checks that we worked out in the previous part of this lesson is:\n",
    "\n",
    "1. Draw parameter values out of the prior.\n",
    "2. Use those parameter values in the likelihood to generate a new data set.\n",
    "3. Store the result and repeat.\n",
    "\n",
    "After collecting the dataset, you can plot summaries of the data sets you generated. Which summaries you choose to plot is up to you, and is often not a trivial choice; as [Michael Betancourt says](https://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html#21_domain_expertise_consistency), \"Constructing an interpretable yet informative summary statistic is very much a fine art.\" For univariate measurements, the ECDF is a good summary, and for regressions, we have seen that predictive regression plots are useful. You may need to choose particular summaries that are best for your modeling task at hand.\n",
    "\n",
    "In this, lesson, we will learn how to do **posterior predictive checks**. The procedure is the same as prior predictive checks with one difference (highlighted in bold below).\n",
    "\n",
    "1. Draw parameter values out of the **posterior**.\n",
    "2. Use those parameter values in the likelihood to generate a new data set.\n",
    "3. Store the result and repeat.\n",
    "\n",
    "Conveniently, we get samples of parameter values out of the posterior from Markov chain Monte Carlo. Once we have the generated data sets, we can compare them to the measured data. This helps answer the question: Could this generative model actually produce the observed data? If the answer is yes, the generative model is not ruled out by the data (though it still may be a bad model). If the answer is no, then the generative model cannot fully describe the process by which the data were generated.\n",
    "\n",
    "We will again use the Good, et al. data set from the [last lesson](prior_predictive_checks.ipynb) and will again consider two models, the independent size model and the conserved tubulin model.\n",
    "\n",
    "Before proceeding, we'll load in the data set and store the droplet diameters and spindle lengths as Numpy arrays so we can use them as data to pass to Stan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('../data/good_invitro_droplet_data.csv', comment='#')\n",
    "\n",
    "d = df['Droplet Diameter (um)'].values\n",
    "ell = df['Spindle Length (um)'].values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The independent size model\n",
    "\n",
    "The independent size model is\n",
    "\n",
    "\\begin{align}\n",
    "&\\phi \\sim \\text{LogNorm}(\\ln 20, 0.75),\\\\[1em]\n",
    "&\\sigma_0 \\sim \\text{Gamma}(2, 10),\\\\[1em]\n",
    "&\\sigma = \\sigma_0\\,\\phi,\\\\[1em]\n",
    "&l_i \\sim \\text{Norm}(\\phi, \\sigma)\\; \\forall i.\n",
    "\\end{align}\n",
    "\n",
    "Under this model, there is no dependence on the droplet diameter of the spindle length. To enable posterior predictive checking, we simply add the data generation to the `generated quantities` block in Stan. The Stan code below implements this model with generation of posterior predictive checks.\n",
    "\n",
    "```stan\n",
    "data {\n",
    "  int N;\n",
    "  real ell[N];\n",
    "}\n",
    "\n",
    "\n",
    "parameters {\n",
    "  real<lower=0> phi;\n",
    "  real<lower=0> sigma_0;\n",
    "}\n",
    "\n",
    "\n",
    "model {\n",
    "  phi ~ lognormal(log(20.0), 0.75);\n",
    "  sigma_0 ~ gamma(2.0, 10.0);\n",
    "\n",
    "  ell ~ normal(phi, sigma_0 * phi);\n",
    "}\n",
    "\n",
    "\n",
    "generated quantities {\n",
    "  real ell_ppc[N];\n",
    "\n",
    "  for (i in 1:N) {\n",
    "    ell_ppc[i] = normal_rng(phi, sigma_0 * phi);\n",
    "  }\n",
    "}\n",
    "```\n",
    "\n",
    "The values in the `generated quantities` block are generated at every MCMC step. Furthermore, all parameters that the sampler is exploring (in this case, `phi` and `sigma_0`) are available within the `generated quantities` block. So, for each MCMC sample, we generate a new data set `ell`.\n",
    "\n",
    "Let's use this model to generate samples, including posterior predictive checks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cmdstanpy:stan to c++ (/Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/indep_size_model.hpp)\n",
      "INFO:cmdstanpy:compiling c++\n",
      "INFO:cmdstanpy:compiled model file: /Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/indep_size_model\n",
      "INFO:cmdstanpy:start chain 1\n",
      "INFO:cmdstanpy:start chain 2\n",
      "INFO:cmdstanpy:finish chain 1\n",
      "INFO:cmdstanpy:finish chain 2\n",
      "INFO:cmdstanpy:start chain 3\n",
      "INFO:cmdstanpy:start chain 4\n",
      "INFO:cmdstanpy:finish chain 3\n",
      "INFO:cmdstanpy:finish chain 4\n"
     ]
    }
   ],
   "source": [
    "data = {\"N\": len(ell), \"ell\": ell}\n",
    "\n",
    "sm = cmdstanpy.CmdStanModel(stan_file=\"indep_size_model.stan\")\n",
    "\n",
    "samples = sm.sample(data=data, sampling_iters=1000, chains=4)\n",
    "\n",
    "samples = az.from_cmdstanpy(posterior=samples, posterior_predictive=[\"ell_ppc\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can take a quick look at our samples in a corner plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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\",\"dtype\":\"float64\",\"shape\":[4000]},\"sigma_0\":{\"__ndarray__\":\"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       "  var render_items = [{\"docid\":\"683ae918-025e-42e1-abcf-a1b41a45a4cb\",\"roots\":{\"1154\":\"31b11992-df38-46d2-8a9e-968498183e7b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
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       "  if (root.Bokeh !== undefined) {\n",
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       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
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       "    }, 10, root)\n",
       "  }\n",
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      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1154"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bokeh.io.show(bebi103.viz.corner(samples, xtick_label_orientation=np.pi / 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The samples look ok. Now, let's look at the posterior predictive checks. As we did for prior predictive checks, we can plot a posterior predictive ECDF. Since we are checking these ECDFs against measured data in posterior predictive checks, we can overlay the data as well.\n",
    "\n",
    "The `bebi103.viz.predictive_ecdf()` function expects input having `n_samples` rows and `N` columns, where `N` is the number of data points and `n_samples` is the total number of posterior predictive data sets we generated. Because we sampled with four chains, the posterior predictive array is three-dimensional."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, 1000, 670)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples.posterior_predictive['ell_ppc'].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first index is the chain, the second the draw, and the third is the number of data points. The samples are stored as an xarray, which we can reshape using the `stack` function. We will collapse the `chain` and `draw` indexes into a single `sample` index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ell_ppc = samples.posterior_predictive[\"ell_ppc\"].stack({\"sample\": (\"chain\", \"draw\")})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also want to be sure to specify the ordering of the indexes; samples should go first, followed by the number of the data point. We can do this using the `transpose()` method of an xarray `DataArray`, which lets us specify the ordering of the indexes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "ell_ppc = ell_ppc.transpose('sample', 'ell_ppc_dim_0')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this nicely shaped array, we can make our posterior predictive ECDF. We can overlay the ECDF of the data using the `data` kwarg.\n",
    "\n",
    "I will adjust the percentiles we use in the plot to include the middle 99th percentile, since we have lots of data points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    \n",
       "  var docs_json = 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P5qZmZmZmdk/LFpWwQ2y2T8sWlbBDbLZP78aE+mBytk/vxoT6YHK2T9S288Q9uLZP1LbzxD24tk/5JuMOGr72T/km4w4avvZP3dcSWDeE9o/d1xJYN4T2j8KHQaIUizaPwodBohSLNo/nd3Cr8ZE2j+d3cKvxkTaPy+ef9c6Xdo/L55/1zpd2j/CXjz/rnXaP8JePP+uddo/VR/5JiOO2j9VH/kmI47aP+jftU6Xpto/6N+1Tpem2j96oHJ2C7/aP3qgcnYLv9o/DWEvnn/X2j8NYS+ef9faP6Ah7MXz79o/oCHsxfPv2j8y4qjtZwjbPzLiqO1nCNs/xaJlFdwg2z/FomUV3CDbP1hjIj1QOds/WGMiPVA52z/rI99kxFHbP+sj32TEUds/feSbjDhq2z995JuMOGrbPxClWLSsgts/EKVYtKyC2z+jZRXcIJvbP6NlFdwgm9s/NSbSA5Wz2z81JtIDlbPbP8jmjisJzNs/yOaOKwnM2z9bp0tTfeTbP1unS1N95Ns/7mcIe/H82z/uZwh78fzbP4AoxaJlFdw/gCjFomUV3D8T6YHK2S3cPxPpgcrZLdw/pqk+8k1G3D+mqT7yTUbcPzlq+xnCXtw/OWr7GcJe3D/LKrhBNnfcP8squEE2d9w/Xut0aaqP3D9e63Rpqo/cP/GrMZEeqNw/8asxkR6o3D+DbO64ksDcP4Ns7riSwNw/Fi2r4AbZ3D8WLavgBtncP6ntZwh78dw/qe1nCHvx3D88riQw7wndPzyuJDDvCd0/zm7hV2Mi3T/ObuFXYyLdP2Evnn/XOt0/YS+ef9c63T/071qnS1PdP/TvWqdLU90/hrAXz79r3T+GsBfPv2vdPxlx1PYzhN0/GXHU9jOE3T+sMZEeqJzdP6wxkR6onN0/P/JNRhy13T8/8k1GHLXdP9GyCm6Qzd0/0bIKbpDN3T9kc8eVBObdP2Rzx5UE5t0/9zOEvXj+3T/3M4S9eP7dP4r0QOXsFt4/ivRA5ewW3j8ctf0MYS/ePxy1/QxhL94/r3W6NNVH3j+vdbo01UfeP0I2d1xJYN4/QjZ3XElg3j/U9jOEvXjeP9T2M4S9eN4/Z7fwqzGR3j9nt/CrMZHeP/p3rdOlqd4/+net06Wp3j+NOGr7GcLeP404avsZwt4/H/kmI47a3j8f+SYjjtreP7K540oC894/srnjSgLz3j9FeqBydgvfP0V6oHJ2C98/1zpdmuoj3z/XOl2a6iPfP2r7GcJePN8/avsZwl483z/9u9bp0lTfP/271unSVN8/kHyTEUdt3z+QfJMRR23fPyI9UDm7hd8/Ij1QObuF3z+1/QxhL57fP7X9DGEvnt8/SL7JiKO23z9IvsmIo7bfP9t+hrAXz98/236GsBfP3z9tP0PYi+ffP20/Q9iL598/AAAAAAAA4D8AAAAAAADgP0lg3hM6DOA/SWDeEzoM4D+TwLwndBjgP5PAvCd0GOA/3CCbO64k4D/cIJs7riTgPyWBeU/oMOA/JYF5T+gw4D9v4VdjIj3gP2/hV2MiPeA/uEE2d1xJ4D+4QTZ3XEngPwKiFIuWVeA/AqIUi5ZV4D9LAvOe0GHgP0sC857QYeA/lGLRsgpu4D+UYtGyCm7gP97Cr8ZEeuA/3sKvxkR64D8nI47afobgPycjjtp+huA/cINs7riS4D9wg2zuuJLgP7rjSgLznuA/uuNKAvOe4D8DRCkWLavgPwNEKRYtq+A/TKQHKme34D9MpAcqZ7fgP5YE5j2hw+A/lgTmPaHD4D/fZMRR28/gP99kxFHbz+A/KcWiZRXc4D8pxaJlFdzgP3IlgXlP6OA/ciWBeU/o4D+7hV+NifTgP7uFX42J9OA/BeY9ocMA4T8F5j2hwwDhP05GHLX9DOE/TkYctf0M4T+XpvrINxnhP5em+sg3GeE/4QbZ3HEl4T/hBtnccSXhPypnt/CrMeE/Kme38Ksx4T9zx5UE5j3hP3PHlQTmPeE/vSd0GCBK4T+9J3QYIErhPwaIUixaVuE/BohSLFpW4T9P6DBAlGLhP0/oMECUYuE/mUgPVM5u4T+ZSA9Uzm7hP+Ko7WcIe+E/4qjtZwh74T8sCcx7QofhPywJzHtCh+E/dWmqj3yT4T91aaqPfJPhP77JiKO2n+E/vsmIo7af4T8IKme38KvhPwgqZ7fwq+E/UYpFyyq44T9RikXLKrjhP5rqI99kxOE/muoj32TE4T/kSgLzntDhP+RKAvOe0OE/LavgBtnc4T8tq+AG2dzhP3YLvxoT6eE/dgu/GhPp4T/Aa50uTfXhP8BrnS5N9eE/Ccx7QocB4j8JzHtChwHiP1MsWlbBDeI/UyxaVsEN4j+cjDhq+xniP5yMOGr7GeI/5ewWfjUm4j/l7BZ+NSbiPy9N9ZFvMuI/L031kW8y4j94rdOlqT7iP3it06WpPuI/wQ2yueNK4j/BDbK540riPwtukM0dV+I/C26QzR1X4j9Uzm7hV2PiP1TObuFXY+I/nS5N9ZFv4j+dLk31kW/iP+eOKwnMe+I/544rCcx74j8w7wkdBojiPzDvCR0GiOI/ek/oMECU4j96T+gwQJTiP8OvxkR6oOI/w6/GRHqg4j8MEKVYtKziPwwQpVi0rOI/VnCDbO644j9WcINs7rjiP5/QYYAoxeI/n9BhgCjF4j/oMECUYtHiP+gwQJRi0eI/MpEeqJzd4j8ykR6onN3iP3vx/LvW6eI/e/H8u9bp4j/EUdvPEPbiP8RR288Q9uI/DrK540oC4z8OsrnjSgLjP1cSmPeEDuM/VxKY94QO4z+gcnYLvxrjP6Bydgu/GuM/6tJUH/km4z/q0lQf+SbjPzMzMzMzM+M/MzMzMzMz4z99kxFHbT/jP32TEUdtP+M/xvPvWqdL4z/G8+9ap0vjPw9Uzm7hV+M/D1TObuFX4z9ZtKyCG2TjP1m0rIIbZOM/ohSLllVw4z+iFIuWVXDjP+t0aaqPfOM/63Rpqo984z811Ue+yYjjPzXVR77JiOM/fjUm0gOV4z9+NSbSA5XjP8eVBOY9oeM/x5UE5j2h4z8R9uL5d63jPxH24vl3reM/WlbBDbK54z9aVsENsrnjP6S2nyHsxeM/pLafIezF4z/tFn41JtLjP+0WfjUm0uM/NndcSWDe4z82d1xJYN7jP4DXOl2a6uM/gNc6XZrq4z/JNxlx1PbjP8k3GXHU9uM/Epj3hA4D5D8SmPeEDgPkP1z41ZhID+Q/XPjVmEgP5D+lWLSsghvkP6VYtKyCG+Q/7riSwLwn5D/uuJLAvCfkPzgZcdT2M+Q/OBlx1PYz5D+BeU/oMEDkP4F5T+gwQOQ/y9kt/GpM5D/L2S38akzkPxQ6DBClWOQ/FDoMEKVY5D9dmuoj32TkP12a6iPfZOQ/p/rINxlx5D+n+sg3GXHkP/Bap0tTfeQ/8FqnS1N95D85u4VfjYnkPzm7hV+NieQ/gxtkc8eV5D+DG2Rzx5XkP8x7QocBouQ/zHtChwGi5D8V3CCbO67kPxXcIJs7ruQ/Xzz/rnW65D9fPP+udbrkP6ic3cKvxuQ/qJzdwq/G5D/x/LvW6dLkP/H8u9bp0uQ/O12a6iPf5D87XZrqI9/kP4S9eP5d6+Q/hL14/l3r5D/OHVcSmPfkP84dVxKY9+Q/F341JtID5T8XfjUm0gPlP2DeEzoMEOU/YN4TOgwQ5T+qPvJNRhzlP6o+8k1GHOU/857QYYAo5T/zntBhgCjlPzz/rnW6NOU/PP+udbo05T+GX42J9EDlP4ZfjYn0QOU/z79rnS5N5T/Pv2udLk3lPxggSrFoWeU/GCBKsWhZ5T9igCjFomXlP2KAKMWiZeU/q+AG2dxx5T+r4AbZ3HHlP/VA5ewWfuU/9UDl7BZ+5T8+ocMAUYrlPz6hwwBRiuU/hwGiFIuW5T+HAaIUi5blP9FhgCjFouU/0WGAKMWi5T8awl48/67lPxrCXjz/ruU/YyI9UDm75T9jIj1QObvlP62CG2Rzx+U/rYIbZHPH5T/24vl3rdPlP/bi+Xet0+U/P0PYi+ff5T8/Q9iL59/lP4mjtp8h7OU/iaO2nyHs5T/SA5WzW/jlP9IDlbNb+OU/HGRzx5UE5j8cZHPHlQTmP2XEUdvPEOY/ZcRR288Q5j+uJDDvCR3mP64kMO8JHeY/+IQOA0Qp5j/4hA4DRCnmP0Hl7BZ+NeY/QeXsFn415j+KRcsquEHmP4pFyyq4QeY/1KWpPvJN5j/Upak+8k3mPx0GiFIsWuY/HQaIUixa5j9mZmZmZmbmP2ZmZmZmZuY/sMZEeqBy5j+wxkR6oHLmP/kmI47afuY/+SYjjtp+5j9ChwGiFIvmP0KHAaIUi+Y/jOfftU6X5j+M59+1TpfmP9VHvsmIo+Y/1Ue+yYij5j8fqJzdwq/mPx+onN3Cr+Y/aAh78fy75j9oCHvx/LvmP7FoWQU3yOY/sWhZBTfI5j/7yDcZcdTmP/vINxlx1OY/RCkWLavg5j9EKRYtq+DmP42J9EDl7OY/jYn0QOXs5j/X6dJUH/nmP9fp0lQf+eY/IEqxaFkF5z8gSrFoWQXnP2mqj3yTEec/aaqPfJMR5z+zCm6QzR3nP7MKbpDNHec//GpMpAcq5z/8akykByrnP0bLKrhBNuc/RssquEE25z+PKwnMe0LnP48rCcx7Quc/2Ivn37VO5z/Yi+fftU7nPyLsxfPvWuc/IuzF8+9a5z9rTKQHKmfnP2tMpAcqZ+c/tKyCG2Rz5z+0rIIbZHPnP/4MYS+ef+c//gxhL55/5z9HbT9D2IvnP0dtP0PYi+c/kM0dVxKY5z+QzR1XEpjnP9ot/GpMpOc/2i38akyk5z8jjtp+hrDnPyOO2n6GsOc/be64ksC85z9t7riSwLznP7ZOl6b6yOc/tk6XpvrI5z//rnW6NNXnP/+udbo01ec/SQ9Uzm7h5z9JD1TObuHnP5JvMuKo7ec/km8y4qjt5z/bzxD24vnnP9vPEPbi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Application\",\"version\":\"1.4.0\"}};\n",
       "  var render_items = [{\"docid\":\"21c09400-d336-4bf5-82ab-e4b45434f7cd\",\"roots\":{\"1358\":\"cbf8f462-e766-4828-82fd-ccd97c52ea5e\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1358"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bokeh.io.show(\n",
    "    bebi103.viz.predictive_ecdf(\n",
    "        ell_ppc,\n",
    "        percentiles=[30, 50, 70, 99],\n",
    "        data=ell,\n",
    "        x_axis_label='spindle length [µm]'\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The range of the ECDF is tight (this is because we have 670 data points). A better use of space would be to plot the *difference* of the ECDF compared to the median of the posterior predictive ECDFs.  We do this using the `diff` kwarg."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"73a3b9c4-4f0d-4fd3-9a59-3f7cbf3bbbe3\" data-root-id=\"1582\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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       "  var render_items = [{\"docid\":\"736660e4-8342-4a12-9110-380ee3720c59\",\"roots\":{\"1582\":\"73a3b9c4-4f0d-4fd3-9a59-3f7cbf3bbbe3\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
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       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
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       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
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       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
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       "    }, 10, root)\n",
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      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1582"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bokeh.io.show(\n",
    "    bebi103.viz.predictive_ecdf(\n",
    "        ell_ppc,\n",
    "        percentiles=[30, 50, 70, 99],\n",
    "        data=ell,\n",
    "        diff=True,\n",
    "        x_axis_label='spindle length [µm]'\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The posterior predictive checks verify that this is a reasonable model for the data set."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Beware the summary statistic\n",
    "\n",
    "In the above posterior predictive check, we used the ECDF as our summary and compared the ECDF from the data to the ECDF from the posterior predictive data sets. We chose this because the independent size model ignores the droplet diameter. \n",
    "\n",
    "We could have instead chosen to do a posterior regression and plotted the spindle length versus the droplet diameter. Let's see what happens when we do that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
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       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"1ae86d8d-8e48-4bb8-a590-f5d449dc5680\" data-root-id=\"1825\"></div>\n"
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     "metadata": {},
     "output_type": "display_data"
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\",\"dtype\":\"float64\",\"shape\":[1340]}},\"selected\":{\"id\":\"1966\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1967\",\"type\":\"UnionRenderers\"}},\"id\":\"1872\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"dimension\":1,\"ticker\":{\"id\":\"1840\",\"type\":\"BasicTicker\"}},\"id\":\"1843\",\"type\":\"Grid\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1955\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1965\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1970\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1835\",\"type\":\"BasicTicker\"},{\"attributes\":{\"source\":{\"id\":\"1882\",\"type\":\"ColumnDataSource\"}},\"id\":\"1886\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1962\",\"type\":\"Selection\"},{\"attributes\":{\"ticker\":{\"id\":\"1835\",\"type\":\"BasicTicker\"}},\"id\":\"1838\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":0.1,\"fill_color\":\"#1f77b4\",\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":0,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1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       "  var render_items = [{\"docid\":\"f8e1dd72-9599-421e-a3dd-9c246b77041d\",\"roots\":{\"1825\":\"1ae86d8d-8e48-4bb8-a590-f5d449dc5680\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
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       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
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       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
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       "    }, 10, root)\n",
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      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
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       "id": "1825"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bokeh.io.show(\n",
    "    bebi103.viz.predictive_regression(\n",
    "        ell_ppc,\n",
    "        samples_x=d,\n",
    "        percentiles=[30, 50, 70, 99],\n",
    "        data=np.vstack((d, ell)).transpose(),\n",
    "        x_axis_label='droplet diameter [µm]',\n",
    "        y_axis_label='spindle length [µm]'\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting the data like this again shows that the could produce the data. However, this fails the eye test: the data clearly depend on the droplet diameter when we plot the data. We should be sure to look more closely for trends like this, not just if all the data lie in the envelope."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The tubulin conservation model\n",
    "\n",
    "The tubulin conservation model is\n",
    "\n",
    "\\begin{align}\n",
    "&\\phi \\sim \\text{LogNorm}(\\ln 20, 0.75),\\\\[1em]\n",
    "&\\gamma \\sim \\text{Beta}(1.1, 1.1), \\\\[1em]\n",
    "&\\sigma_0 \\sim \\text{Gamma}(2, 10),\\\\[1em]\n",
    "&\\mu_i =  \\frac{\\gamma d_i}{\\left(1+(\\gamma d_i/\\phi)^3\\right)^{\\frac{1}{3}}}, \\\\[1em]\n",
    "&\\sigma_i = \\sigma_0\\,\\mu_i,\\\\[1em]\n",
    "&l_i \\sim \\text{Norm}(\\mu_i, \\sigma_i) \\;\\forall i.\n",
    "\\end{align}\n",
    "\n",
    "We follow similar steps to code up the model in Stan. The Stan code is:\n",
    "\n",
    "```stan\n",
    "functions {\n",
    "  real ell_theor(real d, real phi, real gamma_) {\n",
    "    real denom_ratio = (gamma_ * d / phi)^3;\n",
    "    return gamma_ * d / (1 + denom_ratio)^(1.0 / 3.0); \n",
    "  }\n",
    "}\n",
    "\n",
    "\n",
    "data {\n",
    "  int N;\n",
    "  int N_ppc;\n",
    "  real d[N];\n",
    "  real d_ppc[N_ppc];\n",
    "  real ell[N];\n",
    "}\n",
    "\n",
    "\n",
    "parameters {\n",
    "  real<lower=0> phi;\n",
    "  real<lower=0, upper=1> gamma_;\n",
    "  real<lower=0> sigma_0;\n",
    "}\n",
    "\n",
    "\n",
    "transformed parameters {\n",
    "  real mu[N];\n",
    "  real sigma[N];\n",
    "\n",
    "  for (i in 1:N) {\n",
    "    mu[i] = ell_theor(d[i], phi, gamma_);\n",
    "    sigma[i] = sigma_0 * mu[i];\n",
    "  }\n",
    "}\n",
    "\n",
    "\n",
    "model {\n",
    "  phi ~ lognormal(log(20.0), 0.75);\n",
    "  gamma_ ~ beta(1.1, 1.1);\n",
    "  sigma_0 ~ gamma(2.0, 10.0);\n",
    "\n",
    "  ell ~ normal(mu, sigma);\n",
    "}\n",
    "\n",
    "\n",
    "generated quantities {\n",
    "  real ell_ppc[N_ppc];\n",
    "\n",
    "for (i in 1:N_ppc) {\n",
    "    real mu_ppc = ell_theor(d_ppc[i], phi, gamma_);\n",
    "    ell_ppc[i] = normal_rng(mu_ppc, sigma_0 * mu_ppc);\n",
    "  }\n",
    "}\n",
    "```\n",
    "\n",
    "Note that I have chosen a different set of droplet diameter values to use for the posterior predictive checks. We are free to do this, and I do it so that the posterior predictive plot is a smooth curve.\n",
    "\n",
    "Let's set up our data input now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "N_ppc = 200\n",
    "d_ppc = np.linspace(0.1, 250, N_ppc)\n",
    "data = {\n",
    "    \"N\": len(ell),\n",
    "    \"d\": d,\n",
    "    \"ell\": ell,\n",
    "    \"N_ppc\": N_ppc,\n",
    "    \"d_ppc\": d_ppc,\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And now we can compile the model and sample!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cmdstanpy:stan to c++ (/Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/cons_tubulin_model.hpp)\n",
      "INFO:cmdstanpy:compiling c++\n",
      "INFO:cmdstanpy:compiled model file: /Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/cons_tubulin_model\n",
      "INFO:cmdstanpy:start chain 1\n",
      "INFO:cmdstanpy:start chain 2\n",
      "INFO:cmdstanpy:finish chain 2\n",
      "INFO:cmdstanpy:start chain 3\n",
      "INFO:cmdstanpy:finish chain 1\n",
      "INFO:cmdstanpy:start chain 4\n",
      "INFO:cmdstanpy:finish chain 3\n",
      "INFO:cmdstanpy:finish chain 4\n"
     ]
    }
   ],
   "source": [
    "sm = cmdstanpy.CmdStanModel(stan_file='cons_tubulin_model.stan')\n",
    "\n",
    "samples = sm.sample(data=data, sampling_iters=1000, chains=4)\n",
    "\n",
    "samples = az.from_cmdstanpy(posterior=samples, posterior_predictive=[\"ell_ppc\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the corner plot to check out the samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"820b0b95-7d9c-400a-af8d-c83fb8e3ae32\" data-root-id=\"2396\"></div>\n"
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     "output_type": "display_data"
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\",\"dtype\":\"float64\",\"shape\":[4000]}},\"selected\":{\"id\":\"2377\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2378\",\"type\":\"UnionRenderers\"}},\"id\":\"2279\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2226\",\"type\":\"SaveTool\"},{\"attributes\":{\"overlay\":{\"id\":\"2381\",\"type\":\"BoxAnnotation\"}},\"id\":\"2268\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"2357\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"2227\",\"type\":\"ResetTool\"},{\"attributes\":{\"ticker\":{\"id\":\"2097\",\"type\":\"BasicTicker\"}},\"id\":\"2100\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"2352\",\"type\":\"BasicTickFormatter\"},\"major_label_text_font_size\":{\"value\":\"0pt\"},\"ticker\":{\"id\":\"2182\",\"type\":\"BasicTicker\"}},\"id\":\"2181\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2228\",\"type\":\"HelpTool\"},{\"attributes\":{\"ticker\":{\"id\":\"2177\",\"type\":\"BasicTicker\"}},\"id\":\"2180\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2102\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2092\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"ticker\":{\"id\":\"2182\",\"type\":\"BasicTicker\"}},\"id\":\"2185\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2270\",\"type\":\"ResetTool\"},{\"attributes\":{\"formatter\":{\"id\":\"2354\",\"type\":\"BasicTickFormatter\"},\"major_label_orientation\":0.7853981633974483,\"major_label_text_font_size\":{\"value\":\"0pt\"},\"ticker\":{\"id\":\"2177\",\"type\":\"BasicTicker\"}},\"id\":\"2176\",\"type\":\"LinearAxis\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2201\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"2176\",\"type\":\"LinearAxis\"}],\"center\":[{\"id\":\"2180\",\"type\":\"Grid\"},{\"id\":\"2185\",\"type\":\"Grid\"}],\"left\":[{\"id\":\"2181\",\"type\":\"LinearAxis\"}],\"plot_height\":150,\"plot_width\":150,\"renderers\":[{\"id\":\"2202\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"2350\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"2192\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"2169\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"2172\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"2167\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"2174\",\"type\":\"LinearScale\"}},\"id\":\"2168\",\"subtype\":\"Figure\",\"type\":\"Plot\"}],\"root_ids\":[\"2396\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n",
       "  var render_items = [{\"docid\":\"dee9d232-65de-4e8b-a55f-b38afcbb5dfc\",\"roots\":{\"2396\":\"820b0b95-7d9c-400a-af8d-c83fb8e3ae32\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2396"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bokeh.io.show(\n",
    "    bebi103.viz.corner(\n",
    "        samples, pars=[\"phi\", \"gamma_\", \"sigma_0\"], xtick_label_orientation=np.pi / 4\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks good. We can now perform posterior predictive checks by plotting the predictive regression. Again, we need to convert the xarray `DataArray` to have the right dimensions for the `bebi103.viz.predictive_regression()` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"75e01db5-231b-431c-8046-26ee8df1bba2\" data-root-id=\"2903\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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bDEtA5uHGCd5rSkDff+WsIMtJQNkdBFBjKklA0rsi86WJSEDLWUGW6OhHQMT3XzkrSEdAvpV+3G2nRkC3M51/sAZGQLDRuyLzZUVAqm/axTXFRECjDfloeCREQJyrFwy7g0NAlkk2r/3iQkCP51RSQEJCQIiFc/WCoUFAgiOSmMUAQUB7wbA7CGBAQOi+nr2Vfj9A2/rbAxs9PkDONhlKoPs8QMByVpAlujtAs66T1qp4OkCm6tAcMDc5QJgmDmO19TdAi2JLqTq0NkB9nojvv3I1QHDaxTVFMTRAYxYDfMrvMkBVUkDCT64xQEiOfQjVbDBAdJR1nbRWLkBZDPApv9MrQD+EarbJUClAJPzkQtTNJkAJdF/P3kokQO7r2VvpxyFAp8eo0OeJHkByt53p/IMZQDynkgISfhRADi4PN07wDkCjDfloeOQEQHDaxTVFsfU/mpmZmZmZuT8=\",\"dtype\":\"float64\",\"shape\":[400]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[400]}},\"selected\":{\"id\":\"3117\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3118\",\"type\":\"UnionRenderers\"}},\"id\":\"2935\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"2960\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"2961\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2962\",\"type\":\"Circle\"},\"selection_glyph\":null,\"view\":{\"id\":\"2964\",\"type\":\"CDSView\"}},\"id\":\"2963\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":0.1,\"fill_color\":\"#1f77b4\",\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":0,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2952\",\"type\":\"Patch\"},{\"attributes\":{\"fill_color\":\"#6baed6\",\"line_alpha\":0,\"line_color\":\"#1f77b4\",\"line_width\":0,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2941\",\"type\":\"Patch\"},{\"attributes\":{},\"id\":\"3122\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_color\":\"#4292c6\",\"line_alpha\":0,\"line_color\":\"#1f77b4\",\"line_width\":0,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2946\",\"type\":\"Patch\"}],\"root_ids\":[\"2903\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n",
       "  var render_items = [{\"docid\":\"78e660e9-3fae-4c35-bc37-c32975499757\",\"roots\":{\"2903\":\"75e01db5-231b-431c-8046-26ee8df1bba2\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2903"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ell_ppc = samples.posterior_predictive['ell_ppc'].stack(\n",
    "    {\"sample\": (\"chain\", \"draw\")}\n",
    ").transpose(\"sample\", \"ell_ppc_dim_0\")\n",
    "\n",
    "bokeh.io.show(\n",
    "    bebi103.viz.predictive_regression(\n",
    "        ell_ppc,\n",
    "        samples_x=d_ppc,\n",
    "        percentiles=[30, 50, 70, 99],\n",
    "        data=np.vstack((d, ell)).transpose(),\n",
    "        x_axis_label='droplet diameter [µm]',\n",
    "        y_axis_label='spindle length [µm]',\n",
    "        x_range=[0, 250],\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The predictive regression looks good. The model captures the variability of the spindle length with droplet diameter as well as the variability in the measured data.\n",
    "\n",
    "Both the independent size model and the tubulin conservation model can generate the observed data, though the droplet diameter dependence is lost in the former. In the next couple of weeks, we will discuss model comparison, allows us to quantitatively compare models that may both be commensurate with data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "bebi103.stan.clean_cmdstan()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Computing environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPython 3.7.6\n",
      "IPython 7.11.1\n",
      "\n",
      "numpy 1.18.1\n",
      "pandas 0.24.2\n",
      "cmdstanpy 0.8.0\n",
      "arviz 0.6.1\n",
      "bokeh 1.4.0\n",
      "bebi103 0.0.51\n",
      "jupyterlab 1.2.5\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -v -p numpy,pandas,cmdstanpy,arviz,bokeh,bebi103,jupyterlab"
   ]
  }
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