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Merge pull request #165 from fonnesbeck/pymc_rename
Rename pymc3 -> pymc
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‎.github/PULL_REQUEST_TEMPLATE.md

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# Thank you for opening a pull request!
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Please check our [style guide](https://docs.pymc.io/en/latest/contributing/jupyter_style.html), and also make sure that the notebooks you've modified pass the `pre-commit` checks. If, for example, you modified `notebook1.ipynb` and `notebook2.ipynb`, you could do this by running:
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```bash

‎BCM/CaseStudies/ExtrasensoryPerception.ipynb

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‎BCM/CaseStudies/HeuristicDecisionMaking.ipynb

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"/Users/alex_andorra/opt/anaconda3/envs/BCM_pymc/lib/python3.7/site-packages/ipykernel_launcher.py:8: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n",
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‎BCM/CaseStudies/MemoryRetention.ipynb

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‎BCM/CaseStudies/MultinomialProcessingTrees.ipynb

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‎BCM/CaseStudies/NumberConceptDevelopment.ipynb

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‎BCM/CaseStudies/PsychophysicalFunctions.ipynb

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‎BCM/CaseStudies/SignalDetectionTheory.ipynb

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"Sampling using HMC (e.g., in STAN and PyMC), there are better way to diagnose biased inference [[1]](http://mc-stan.org/documentation/case-studies/divergences_and_bias.html), [[2]](http://pymc-devs.github.io/pymc/notebooks/Diagnosing_biased_Inference_with_Divergences.html)."
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"Moreover, the reparameterization, which works better in BUGS/JAGS using Gibbs sampler, actually perform worse using NUTS. Again, this demonstrates that many of the tricks and intuition we got using BUGS/JAGS might not translate to PyMC and STAN."
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‎BCM/CaseStudies/TheBARTModelofRiskTaking.ipynb

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‎BCM/CaseStudies/TheGCMModelofCategorization.ipynb

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‎BCM/CaseStudies/TheSIMPLEModelofMemory.ipynb

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‎BCM/ModelSelection/ComparingBinomialRates.ipynb

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‎BCM/ModelSelection/ComparingGaussianMeans.ipynb

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