Function reference • mcmcr

Bind/Combine Bind or combine chains or objects
`reexports` `as.mcmc` `as_nlist` `as_nlists` `as.term` `as_term` `bind_chains` `bind_iterations` `collapse_chains` `converged` `esr` `estimates` `median` `dims` `zscore` `lower` `upper` `pvalue` `svalue` `nlist` `nlists` `complete_terms` `fill_all` `fill_na` `nchains` `niters` `npars` `npdims` `nterms` `parameters` `parameters` `pars` `pdims` `rhat` `set_pars` `pars` `split_chains` `thin` `tidy`	Objects exported from other packages
`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>)`	Bind by Chains.
`bind_dimensions()`	Combine two MCMC objects by dimensions
`bind_dimensions_n()`	Combine multiple MCMC objects by parameter dimensions
`bind_parameters()`	Combine two MCMC object by parameters
`combine_dimensions()`	Combine samples by dimensions
`combine_samples()`	Combine MCMC samples of two objects
`combine_samples_n()`	Combine MCMC samples of multiple objects
`converged(<default>)`	Converged
`converged(<mcmcrs>)`	Converged
Calculate Calculate
`coef(<mcmc>)`	Term coefficients
`reexports` `as.mcmc` `as_nlist` `as_nlists` `as.term` `as_term` `bind_chains` `bind_iterations` `collapse_chains` `converged` `esr` `estimates` `median` `dims` `zscore` `lower` `upper` `pvalue` `svalue` `nlist` `nlists` `complete_terms` `fill_all` `fill_na` `nchains` `niters` `npars` `npdims` `nterms` `parameters` `parameters` `pars` `pdims` `rhat` `set_pars` `pars` `split_chains` `thin` `tidy`	Objects exported from other packages
`esr(<mcarray>)`	Effective Sampling Rate
`esr(<mcmc>)`	Effective Sampling Rate
`esr(<mcmc.list>)`	Effective Sampling Rate
`esr(<mcmcarray>)`	Effective Sampling Rate
`esr(<mcmcr>)`	Effective Sampling Rate
`esr(<mcmcrs>)`	Effective Sampling Rate
`ess()`	P-Value effective sample size
`estimates(<mcarray>)`	Estimates
`estimates(<mcmc>)`	Estimates
`estimates(<mcmc.list>)`	Estimates
`estimates(<mcmcarray>)`	Estimates
`estimates(<mcmcr>)`	Estimates
`rhat(<mcarray>)`	R-hat
`rhat(<mcmc>)`	R-hat
`rhat(<mcmc.list>)`	R-hat
`rhat(<mcmcarray>)`	R-hat
`rhat(<mcmcr>)`	R-hat
`rhat(<mcmcrs>)`	R-hat
Check Check objects
`check_mcmcarray()`	Check mcmcarray
`check_mcmcr()`	Check mcmcr
`chk_mcmcarray()` `chk_mcmcr()` `chk_mcmcrs()`	Check MCMC objects
Coerce or Create Coerce, convert or create object
`reexports` `as.mcmc` `as_nlist` `as_nlists` `as.term` `as_term` `bind_chains` `bind_iterations` `collapse_chains` `converged` `esr` `estimates` `median` `dims` `zscore` `lower` `upper` `pvalue` `svalue` `nlist` `nlists` `complete_terms` `fill_all` `fill_na` `nchains` `niters` `npars` `npdims` `nterms` `parameters` `parameters` `pars` `pdims` `rhat` `set_pars` `pars` `split_chains` `thin` `tidy`	Objects exported from other packages
`as.mcmc(<mcarray>)`	Markov Chain Monte Carlo Objects
`as.mcmc(<mcmc>)`	Markov Chain Monte Carlo Objects
`as.mcmc(<mcmcarray>)`	Markov Chain Monte Carlo Objects
`as.mcmc(<mcmcr>)`	Markov Chain Monte Carlo Objects
`as.mcmcr()`	Convert to an mcmcr object
`as.mcmcrs()`	Convert to an mcmcrs object
`as.mcarray()` `as.mcmcr(<list>)`	Coerce to an mcarray object
`as.mcmcarray()`	Coerce to an mcmcarray object
`as_nlist(<mcmcr>)`	Coerce to nlist
`as_nlists(<mcmcr>)`	Coerce to nlists
`mcmcrs()`	Create mcmcrs
Identify Identify objects
`is.mcarray()`	Is mcarray object
`is.mcmcarray()`	Is mcmcarray object
`is.mcmcr()`	Is mcmcr object
`is.mcmcrs()`	Is mcmcrs object
Manipulate Manipulate Objects
`reexports` `as.mcmc` `as_nlist` `as_nlists` `as.term` `as_term` `bind_chains` `bind_iterations` `collapse_chains` `converged` `esr` `estimates` `median` `dims` `zscore` `lower` `upper` `pvalue` `svalue` `nlist` `nlists` `complete_terms` `fill_all` `fill_na` `nchains` `niters` `npars` `npdims` `nterms` `parameters` `parameters` `pars` `pdims` `rhat` `set_pars` `pars` `split_chains` `thin` `tidy`	Objects exported from other packages
`collapse_chains(<mcmcr>)`	Collapse Chains
`fill_all(<mcarray>)`	Fill All Values
`fill_all(<mcmcarray>)`	Fill All Values
`fill_all(<mcmcr>)`	Fill All Values
`fill_na(<mcarray>)`	Fill Missing Values
`fill_na(<mcmcarray>)`	Fill Missing Values
`fill_na(<mcmcr>)`	Fill Missing Values
`mcmc_aperm()`	MCMC object transposition
`mcmc_map()`	MCMC map
`set_pars(<mcmcr>)`	Set Parameters
`set_pars(<mcmcrs>)`	Set Parameters
`split_chains(<mcmcarray>)`	Split Chains
`split_chains(<mcmcr>)`	Split Chains
`subset(<mcmcarray>)` `subset(<mcmcr>)` `subset(<mcmcrs>)`	Subset an MCMC object
`zero()`	Zero MCMC sample values
Objects Objects
`mcmcarray-object` `mcmcarray_object`	mcmcarray
`mcmcr-object` `mcmcr_object`	mcmcr
`mcmcr_example`	An example mcmcr object
`mcmcrs-object` `mcmcrs_object`	mcmcrs
Query Query object’s dimensions/parameters
`reexports` `as.mcmc` `as_nlist` `as_nlists` `as.term` `as_term` `bind_chains` `bind_iterations` `collapse_chains` `converged` `esr` `estimates` `median` `dims` `zscore` `lower` `upper` `pvalue` `svalue` `nlist` `nlists` `complete_terms` `fill_all` `fill_na` `nchains` `niters` `npars` `npdims` `nterms` `parameters` `parameters` `pars` `pdims` `rhat` `set_pars` `pars` `split_chains` `thin` `tidy`	Objects exported from other packages
`nchains(<mcarray>)`	Number of Chains
`nchains(<mcmcarray>)`	Number of Chains
`nchains(<mcmcr>)`	Number of Chains
`nchains(<mcmcrs>)`	Number of Chains
`niters(<mcarray>)`	Number of Iterations
`niters(<mcmcarray>)`	Number of Iterations
`niters(<mcmcr>)`	Number of Iterations
`niters(<mcmcrs>)`	Number of Iterations
`npars(<mcarray>)`	Number of Parameters
`npars(<mcmcarray>)`	Number of Parameters
`npars(<mcmcr>)`	Number of Parameters
`npdims(<mcmcarray>)`	Number of Parameter Dimensions
`npdims(<mcmcr>)`	Number of Parameter Dimensions
`nterms(<mcmcarray>)`	Number of Terms
`nterms(<mcmcr>)`	Number of Terms
`nterms(<mcmcrs>)`	Number of Terms
`params`	Parameter descriptions
`pars(<mcmcr>)`	Parameter Names
`pars(<mcmcrs>)`	Parameter Names
`pdims(<mcarray>)`	Parameter Dimensions
`pdims(<mcmcarray>)`	Parameter Dimensions
`pdims(<mcmcr>)`	Parameter Dimensions
Validate Validate MCMC objects
`vld_mcmcarray()` `vld_mcmcr()` `vld_mcmcrs()`	Validate MCMC objects

Reference

Bind/Combine

Calculate

Check

Coerce or Create

Identify

Manipulate

Objects

Query

Validate