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:
mmcc_0.0.9.9000.tar.gz
mmcc_0.0.9.9000.zip(r-4.5)mmcc_0.0.9.9000.zip(r-4.4)mmcc_0.0.9.9000.zip(r-4.3)
mmcc_0.0.9.9000.tar.gz(r-4.5-noble)mmcc_0.0.9.9000.tar.gz(r-4.4-noble)
mmcc_0.0.9.9000.tgz(r-4.4-emscripten)mmcc_0.0.9.9000.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/njtierney/mmcc/issues
Datasets:
- example_jags_model - Example JAGS Model
- example_stan_model - Example STAN Model
Last updated 3 years agofrom:f1f271bf56. Checks:OK: 2 ERROR: 3. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | ERROR | Nov 02 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | ERROR | Nov 02 2024 |
| R-4.3-win | ERROR | Nov 02 2024 |
Exports:diag_autocorrdiag_essdiag_mc_stderrglancemcmc_to_dtn_chainn_itern_simsn_varthin_dttidy
Dependencies:clicodadata.tablegenericsgluelatticelifecyclemagrittrpurrrrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Diagnostic: Calculate the autocorrelation for each chain and parameter | diag_autocorr |
| Diagnostic: Calculate the effective sample size for each chain and parameter | diag_ess |
| Batch Means Standard Errors | diag_mc_stderr |
| Example JAGS Model | example_jags_model |
| Example STAN Model | example_stan_model |
| Glance upon your dic samples to get the penalised deviance | glance.dic |
| Glance upon your mcmclist to get summary information | glance.mcmc.list |
| Convert 'mcmc.list' to a tidy data.table object | mcmc_to_dt |
| Convert 'mcmc.list' to a tidy data.table object | mcmc_to_dt.mcmc.list |
| MCMC tidiers (draft) for STAN | mcmc_to_dt.stanfit |
| Dimensions of MCMC objects | mcmc-dims n_chain n_iter n_var |
| Return the number of simulations | n_sims |
| thin_dt | thin_dt |
| Return a tidy data summary of an MCMC object | tidy.mcmc.list |
