ArviZ.jl

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This pull request changes the compat entry for the `SimplePosets` package from `< 0.1.6` to `< 0.1.6, 0.1` for package docs. This keeps the compat entries for earlier versions. Note:...

github-actions[bot]

Better reproducibility wrapping Python ArviZ

3

One of the ways the Julia ecosystem achieves reproducibility even with binary dependencies is by defining glue packages that wrap the binaries and are tagged for specific versions. e.g. https://github.com/JuliaBinaryWrappers/wget_jll.jl....

sethaxen

CompatHelper: bump compat for Soss to 0.21 for package docs, (keep existing compat)

2

This pull request changes the compat entry for the `Soss` package from `0.20` to `0.20, 0.21` for package docs. This keeps the compat entries for earlier versions. Note: I have...

github-actions[bot]

See the [changelog](https://github.com/arviz-devs/arviz/blob/v0.12.0/CHANGELOG.md). Changes we need to make are: - [x] Forward and export `extract_dataset` - [x] Forward and ~export~(`plot_ecdf` is not documented as part of the arviz API) `plot_ecdf`...

sethaxen

Toward a completely PPL-agnostic Bayesian workflow

8

_This first post is a stream-of-consciousness dump of some ideas I've been tossing around in my head for a few months now. I'll edit it for clarity as needed._ #...

sethaxen

Error creating InferenceData from Turing Chains with extra info

1

Currently it seems that if some objects are in the Turing info, we can't map these to the `InferenceData` info. ```julia using ArviZ, Turing julia> @model function foo() x ~...

sethaxen

trouble installing with Julia 1.6.2

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The command below from the repo Readme.md is not working with Julia 1.6.2: ```bash PYTHON="" julia -e 'using Pkg; Pkg.add("PyCall"); Pkg.build("PyCall"); Pkg.add("ArviZ");' ``` ```julia julia> using ArviZ [ Info: Precompiling...

MooersLab

Hook into Plots.jl and/or Makie.jl

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Currently ArviZ.jl only supports ArviZ's matplotlib backend (using PyPlot.jl) and partially supports its Bokeh backend. ArviZ.jl should hook into [Plots.jl](https://docs.juliaplots.org/latest/) for several reasons: - better interop with Julia packages. The...

sethaxen

Add converter from Turing using both Chains and Model

3

This PR is a working prototype of the Turing part of the proposal in #132. With this PR, we can compute the final full `InferenceData` from the [Turing example in...

sethaxen

According to the [`InferenceData` spec](https://arviz-devs.github.io/arviz/schema/schema.html#log-likelihood), the `log_likelihood` group is unique in that the dims or coords of a variable can be different from its dims or coords in `observed_data`, `prior_predictive`,...

sethaxen