0.11.4
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Installation guide
ArviZ Quickstart
Introduction to xarray, InferenceData, and netCDF for ArviZ
Creating InferenceData
Converting emcee objects to InferenceData
Working with InferenceData
Getting Started
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Installation guide
Stable
Development
Dependencies
ArviZ Quickstart
ArviZ style sheets
Get started with plotting
ArviZ rcParams
Plotting with PyStan objects
Introduction to xarray, InferenceData, and netCDF for ArviZ
Why more than one data structure?
Why not Pandas Dataframes or NumPy Arrays?
An introduction to each
NetCDF
Additional Reading
xarray
NetCDF
Creating InferenceData
From 1D numpy array
From nD numpy array
From a dictionary
From dictionary with coords and dims
From Dataframe
From PyMC3
From PyStan
From Pyro
From emcee
From CmdStanPy
From CmdStan
From NumPyro
From PyJAGS
Working with InferenceData
Combine chains and draws
Obtain a NumPy array for a given parameter
Get the number of variables
Get the variables’ names
Get a subset of chains
Remove the first n draws (burn-in)
Compute posterior mean values along draw and chains dimensions
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ArviZ: Exploratory analysis of Bayesian models
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