Package: mcmcr 0.7.0.9002

Joe Thorley

mcmcr: Manipulate MCMC Samples

Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples. For more information see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.

Authors:Joe Thorley [aut, cre], Kirill Müller [ctb], Nadine Hussein [ctb], Ayla Pearson [ctb], Poisson Consulting [cph, fnd]

mcmcr_0.7.0.9002.tar.gz
mcmcr_0.7.0.9002.zip(r-4.7-any)mcmcr_0.7.0.9002.zip(r-4.6-any)mcmcr_0.7.0.9002.zip(r-4.5-any)
mcmcr_0.7.0.9002.tgz(r-4.6-any)mcmcr_0.7.0.9002.tgz(r-4.5-any)
mcmcr_0.7.0.9002.tar.gz(r-4.7-any)mcmcr_0.7.0.9002.tar.gz(r-4.6-any)
mcmcr_0.7.0.9002.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mcmcr/json (API)

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

Bug tracker:https://github.com/poissonconsulting/mcmcr/issues

Datasets:

On CRAN:

Conda:

codamcmc

8.29 score 20 stars 11 packages 164 scripts 516 downloads 65 exports 20 dependencies

Last updated from:dc9b305458. Checks:2 NOTE, 7 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE129
source / vignettesOK188
linux-releaseOK137
macos-releaseOK121
macos-oldrelOK127
windows-develNOTE95
windows-releaseOK104
windows-oldrelOK102
wasm-releaseOK90

Exports:as_nlistas_nlistsas_termas.mcarrayas.mcmcas.mcmc.listas.mcmcarrayas.mcmcras.mcmcrsas.termbind_chainsbind_dimensionsbind_dimensions_nbind_iterationsbind_parameterscheck_mcmcarraycheck_mcmcrchk_mcmcarraychk_mcmcrchk_mcmcrscoefcollapse_chainscombine_dimensionscombine_samplescombine_samples_ncomplete_termsconvergeddimsesressestimatesfill_allfill_nais.mcarrayis.mcmcarrayis.mcmcris.mcmcrslowermcmc_apermmcmc_mapmcmcrsmediannchainsnitersnlistnlistsnparsnpdimsntermsparspars<-pdimspvaluerhatset_parssplit_chainssvaluethintidyuppervld_mcmcarrayvld_mcmcrvld_mcmcrszerozscore

Dependencies:abindchkclicodaextrasgenericsgluelatticelifecyclemagrittrnlistpillarpkgconfigpurrrrlangtermtibbleuniversalsutf8vctrs

Readme and manuals

Help Manual

Help pageTopics
Coerce to nlistas_nlist.mcmcr
Coerce to nlistsas_nlists.mcmcr
Coerce to an mcarray objectas.mcarray as.mcmcr.list
Markov Chain Monte Carlo Objectsas.mcmc.mcarray
Markov Chain Monte Carlo Objectsas.mcmc.mcmc
Markov Chain Monte Carlo Objectsas.mcmc.mcmcarray
Markov Chain Monte Carlo Objectsas.mcmc.mcmcr
Coerce to an mcmcarray objectas.mcmcarray
Convert to an mcmcr objectas.mcmcr as.mcmcr.mcarray as.mcmcr.mcmc as.mcmcr.mcmc.list as.mcmcr.mcmcarray as.mcmcr.mcmcrs as.mcmcr.nlist as.mcmcr.nlists
Convert to an mcmcrs objectas.mcmcrs as.mcmcrs.list as.mcmcrs.mcmcr
Bind by Chains.bind_chains.mcarray
Bind by Chains.bind_chains.mcmc
Bind by Chains.bind_chains.mcmc.list
Bind by Chains.bind_chains.mcmcarray
Bind by Chains.bind_chains.mcmcr
Combine two MCMC objects by dimensionsbind_dimensions
Combine multiple MCMC objects by parameter dimensionsbind_dimensions_n
Combine two MCMC object by parametersbind_parameters
Check mcmcarray *[Deprecated]*check_mcmcarray
Check mcmcr *[Deprecated]*check_mcmcr
Check MCMC objectschk_mcmcarray chk_mcmcr chk_mcmcrs
Term coefficientscoef coef.mcmc
Collapse Chainscollapse_chains.mcmcr
Combine samples by dimensionscombine_dimensions
Combine MCMC samples of two objectscombine_samples
Combine MCMC samples of multiple objectscombine_samples_n
Convergedconverged.default
Convergedconverged.mcmcrs
Effective Sampling Rateesr.mcarray
Effective Sampling Rateesr.mcmc
Effective Sampling Rateesr.mcmc.list
Effective Sampling Rateesr.mcmcarray
Effective Sampling Rateesr.mcmcr
Effective Sampling Rateesr.mcmcrs
Effective Sample Sizeess
Estimatesestimates.mcarray
Estimatesestimates.mcmc
Estimatesestimates.mcmc.list
Estimatesestimates.mcmcarray
Estimatesestimates.mcmcr
Fill All Valuesfill_all.mcarray
Fill All Valuesfill_all.mcmcarray
Fill All Valuesfill_all.mcmcr
Fill Missing Valuesfill_na.mcarray
Fill Missing Valuesfill_na.mcmcarray
Fill Missing Valuesfill_na.mcmcr
Is mcarray objectis.mcarray
Is mcmcarray objectis.mcmcarray
Is mcmcr objectis.mcmcr
Is mcmcrs objectis.mcmcrs
MCMC object transpositionmcmc_aperm
MCMC mapmcmc_map
mcmcarraymcmcarray-object mcmcarray_object
An example mcmcr objectmcmcr_example
mcmcrmcmcr-object mcmcr_object
Create mcmcrsmcmcrs
mcmcrsmcmcrs-object mcmcrs_object
Number of Chainsnchains.matrix
Number of Chainsnchains.mcarray
Number of Chainsnchains.mcmcarray
Number of Chainsnchains.mcmcr
Number of Chainsnchains.mcmcrs
Number of Iterationsniters.matrix
Number of Iterationsniters.mcarray
Number of Iterationsniters.mcmcarray
Number of Iterationsniters.mcmcr
Number of Iterationsniters.mcmcrs
Number of Parametersnpars.mcarray
Number of Parametersnpars.mcmcarray
Number of Parametersnpars.mcmcr
Number of Parameter Dimensionsnpdims.mcmcarray
Number of Parameter Dimensionsnpdims.mcmcr
Number of Termsnterms.mcmcarray
Number of Termsnterms.mcmcr
Number of Termsnterms.mcmcrs
Parameter Namespars.mcmcr
Parameter Namespars.mcmcrs
Parameter Dimensionspdims.mcarray
Parameter Dimensionspdims.mcmcarray
Parameter Dimensionspdims.mcmcr
R-hatrhat.mcarray
R-hatrhat.mcmc
R-hatrhat.mcmc.list
R-hatrhat.mcmcarray
R-hatrhat.mcmcr
R-hatrhat.mcmcrs
Set Parametersset_pars.mcmcr
Set Parametersset_pars.mcmcrs
Split Chainssplit_chains.mcmcarray
Split Chainssplit_chains.mcmcr
Subset an MCMC objectsubset subset.mcmcarray subset.mcmcr subset.mcmcrs
Validate MCMC objectsvld_mcmcarray vld_mcmcr vld_mcmcrs
Zero MCMC sample valueszero zero.mcarray zero.mcmcarray zero.mcmcr