Package: superdiag 2.0

superdiag: A Comprehensive Test Suite for Testing Markov Chain Nonconvergence

The 'superdiag' package provides a comprehensive test suite for testing Markov Chain nonconvergence. It integrates five standard empirical MCMC convergence diagnostics (Gelman-Rubin, Geweke, Heidelberger-Welch, Raftery-Lewis, and Hellinger distance) and plotting functions for trace plots and density histograms. The functions of the package can be used to present all diagnostic statistics and graphs at once for conveniently checking MCMC nonconvergence.

Authors:Le Bao <[email protected]>, Jeff Gill <[email protected]>, Tsung-han Tsai <[email protected]> and Jonathan Rapkin

superdiag_2.0.tar.gz
superdiag_2.0.zip(r-4.7-any)superdiag_2.0.zip(r-4.6-any)superdiag_2.0.zip(r-4.5-any)
superdiag_2.0.tgz(r-4.6-any)superdiag_2.0.tgz(r-4.5-any)
superdiag_2.0.tar.gz(r-4.7-any)superdiag_2.0.tar.gz(r-4.6-any)
superdiag_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
superdiag/json (API)

# Install 'superdiag' in R:
install.packages('superdiag', repos = c('https://lbaole17.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • tobit.list - Data: A 'mcmc.list' from a Tobit model

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.36 score 23 scripts 252 downloads 2 exports 2 dependencies

Last updated from:32b8427608. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK83
source / vignettesOK164
linux-releaseOK89
macos-releaseOK153
macos-oldrelOK183
windows-develOK60
windows-releaseOK60
windows-oldrelOK63
wasm-releaseOK86

Exports:superdiagsuperdiagPlot

Dependencies:codalattice

Readme and manuals

Help Manual

Help pageTopics
Test for Markov Chain Nonconvergencesuperdiag
Summary Plots for 'mcmc' ObjectssuperdiagPlot superdiagPlot.mcmc superdiagPlot.mcmc.list
Data: A 'mcmc.list' from a Tobit modeltobit.list