Package: universals 0.0.5.9000

Joe Thorley

universals: S3 Generics for Bayesian Analyses

Provides S3 generic methods and some default implementations for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples. The purpose of 'universals' is to reduce package dependencies and conflicts. The 'nlist' package implements many of the methods for its 'nlist' class.

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

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universals.pdf |universals.html
universals/json (API)
NEWS

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

Peer review:

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

On CRAN:

genericsmodel-fittings3

5.66 score 4 stars 19 packages 1 scripts 692 downloads 27 exports 0 dependencies

Last updated 12 days agofrom:6921d6c081. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:bind_chainsbind_iterationscollapse_chainsconvergedconverged_parsconverged_termsdimsesresr_parsesr_termsestimatesnchainsndimsnitersnparsnpdimsnsamsnsimsntermsparspars<-pdimsrhatrhat_parsrhat_termsset_parssplit_chains

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Bind by Chains.bind_chains
Bind Iterationsbind_iterations
Collapse Chainscollapse_chains collapse_chains.default
Convergedconverged
Converged Parametersconverged_pars
Converged Termsconverged_terms
Dimensionsdims dims.default dims.factor
Effective Sampling Rateesr
Effective Sampling Rate for Parametersesr_pars
Effective Sampling Rate for Termsesr_terms
Estimatesestimates
Number of Chainsnchains
Number of Dimensionsndims ndims.data.frame ndims.default ndims.matrix
Number of Iterationsniters
Number of Parametersnpars npars.default
Number of Parameter Dimensionsnpdims npdims.default
Number of Samplesnsams nsams.default
Number of Simulationsnsims nsims.default
Number of Termsnterms
Parameter Namespars
Parameter Dimensionspdims
R-hatrhat
R-hat Parametersrhat_pars
R-hat Termsrhat_terms
Set Parameterspars<- set_pars
Split Chainssplit_chains