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:
universals_0.0.5.9000.tar.gz
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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')) |
Bug tracker:https://github.com/poissonconsulting/universals/issues
Last updated 2 years agofrom:152629f241
Exports:bind_chainsbind_iterationscollapse_chainsconvergedconverged_parsconverged_termsdimsesresr_parsesr_termsestimatesnchainsndimsnitersnparsnpdimsnsamsnsimsntermsparspars<-pdimsrhatrhat_parsrhat_termsset_parssplit_chains
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bind by Chains. | bind_chains |
| Bind Iterations | bind_iterations |
| Collapse Chains | collapse_chains collapse_chains.default |
| Converged | converged |
| Converged Parameters | converged_pars |
| Converged Terms | converged_terms |
| Dimensions | dims dims.default dims.factor |
| Effective Sampling Rate | esr |
| Effective Sampling Rate for Parameters | esr_pars |
| Effective Sampling Rate for Terms | esr_terms |
| Estimates | estimates |
| Number of Chains | nchains |
| Number of Dimensions | ndims ndims.data.frame ndims.default ndims.matrix |
| Number of Iterations | niters |
| Number of Parameters | npars npars.default |
| Number of Parameter Dimensions | npdims npdims.default |
| Number of Samples | nsams nsams.default |
| Number of Simulations | nsims nsims.default |
| Number of Terms | nterms |
| Parameter Names | pars |
| Parameter Dimensions | pdims |
| R-hat | rhat |
| R-hat Parameters | rhat_pars |
| R-hat Terms | rhat_terms |
| Set Parameters | pars<- set_pars |
| Split Chains | split_chains |
