Package: mmcc 0.0.9.9000

mmcc: tidy mcmc.list using data.table

Tidy up, diagnose, and visualise your mcmc samples quickly and easily so you can get on with your analysis.

Authors:Nicholas Tierney [aut, cre], Sam Clifford [aut]

mmcc_0.0.9.9000.tar.gz
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mmcc.pdf |mmcc.html
mmcc/json (API)
NEWS

# Install 'mmcc' in R:
install.packages('mmcc', repos = c('https://njtierney.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/njtierney/mmcc/issues

Datasets:

On CRAN:

11 exports 23 stars 2.09 score 11 dependencies

Last updated 3 years agofrom:f1f271bf56

Exports:diag_autocorrdiag_essdiag_mc_stderrglancemcmc_to_dtn_chainn_itern_simsn_varthin_dttidy

Dependencies:clicodadata.tablegenericsgluelatticelifecyclemagrittrpurrrrlangvctrs

Model summaries for a Bayesian linear regression

Rendered fromlm.Rmdusingknitr::rmarkdownon Jul 21 2024.

Last update: 2019-01-30
Started: 2017-06-10