Make Chains objects display only information and not statistical eval (#307)

* Make Chains objects display only information and not statistical evaluations

* Make describe function display summary stats

* Make describe function to display summary stats and quantiles

* fixed formatting issues
Until this commit, there are not new changes in this PR

* implemented DataAPI.describe() function

* Formatting fix

* Major version bump from 6.0.7 to 6.1.0

* Version bump to 7.0.0

* update version in Docs too

* Ran JuliaFormatter on files that are changed in this PR

* Updated tables tests and MCMCChains version in test/Project.toml

* Run JuliaFormatter on test/tables_tests.jl

---------

Co-authored-by: Shravan Goswami <[email protected]>

Author: PaulinaMartin96

Project.toml

@@ -3,11 +3,12 @@ uuid = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
 keywords = ["markov chain monte carlo", "probablistic programming"]
 license = "MIT"
 desc = "Chain types and utility functions for MCMC simulations."
-version = "6.0.7"
+version = "7.0.0"
 
 [deps]
 AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
 AxisArrays = "39de3d68-74b9-583c-8d2d-e117c070f3a9"
+DataAPI = "9a962f9c-6df0-11e9-0e5d-c546b8b5ee8a"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 IteratorInterfaceExtensions = "82899510-4779-5014-852e-03e436cf321d"
@@ -29,6 +30,7 @@ Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 [compat]
 AbstractMCMC = "0.4, 0.5, 1.0, 2.0, 3.0, 4, 5"
 AxisArrays = "0.4.4"
+DataAPI = "1.16.0"
 Dates = "<0.0.1, 1"
 Distributions = "0.21, 0.22, 0.23, 0.24, 0.25"
 IteratorInterfaceExtensions = "0.1.1, 1"

docs/Project.toml

@@ -15,7 +15,7 @@ CategoricalArrays = "0.8, 0.9, 0.10"
 DataFrames = "0.22, 1"
 Documenter = "0.26, 0.27, 1"
 Gadfly = "1.3.4"
-MCMCChains = "6"
+MCMCChains = "7"
 MLJBase = "0.19, 0.20, 0.21, 1"
 MLJDecisionTreeInterface = "0.3, 0.4"
 StatsPlots = "0.14, 0.15"

src/MCMCChains.jl

@@ -8,8 +8,18 @@ using Distributions
 using RecipesBase
 using Dates
 using KernelDensity: kde, pdf
-import StatsBase: autocov, counts, sem, AbstractWeights,
-    autocor, describe, quantile, sample, summarystats, cov
+import DataAPI
+import StatsBase:
+    autocov,
+    counts,
+    sem,
+    AbstractWeights,
+    autocor,
+    describe,
+    quantile,
+    sample,
+    summarystats,
+    cov
 
 import MCMCDiagnosticTools
 import MLJModelInterface
@@ -34,9 +44,21 @@ export ChainDataFrame
 export summarize
 
 # Reexport diagnostics functions
-using MCMCDiagnosticTools: discretediag, ess, ess_rhat, AutocovMethod, FFTAutocovMethod,
-    BDAAutocovMethod, gelmandiag, gelmandiag_multivariate, gewekediag, heideldiag, mcse,
-    rafterydiag, rhat, rstar
+using MCMCDiagnosticTools:
+    discretediag,
+    ess,
+    ess_rhat,
+    AutocovMethod,
+    FFTAutocovMethod,
+    BDAAutocovMethod,
+    gelmandiag,
+    gelmandiag_multivariate,
+    gewekediag,
+    heideldiag,
+    mcse,
+    rafterydiag,
+    rhat,
+    rstar
 export discretediag
 export ess, ess_rhat, rhat, AutocovMethod, FFTAutocovMethod, BDAAutocovMethod
 export gelmandiag, gelmandiag_multivariate
@@ -59,7 +81,8 @@ Parameters:
 - `info` : A `NamedTuple` containing miscellaneous information relevant to the chain.
 The `info` field can be set using `setinfo(c::Chains, n::NamedTuple)`.
 """
-struct Chains{T,A<:AxisArray{T,3},L,K<:NamedTuple,I<:NamedTuple} <: AbstractMCMC.AbstractChains
+struct Chains{T,A<:AxisArray{T,3},L,K<:NamedTuple,I<:NamedTuple} <:
+       AbstractMCMC.AbstractChains
     value::A
     logevidence::L
     name_map::K