Package index • mcmcr

Bind/Combine

Bind or combine chains or objects

reexports as.mcmc as.mcmc.list 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

coef(<mcmc>): Term coefficients

reexports as.mcmc as.mcmc.list 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() deprecated: Check mcmcarray

check_mcmcr() deprecated: Check mcmcr

chk_mcmcarray() chk_mcmcr() chk_mcmcrs(): Check MCMC objects

Coerce or Create

Coerce, convert or create object

reexports as.mcmc as.mcmc.list 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(<nlists>): Number of Chains

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.mcmc.list 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

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.mcmc.list 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(<matrix>): Number of Chains

nchains(<mcarray>): Number of Chains

nchains(<mcmcarray>): Number of Chains

nchains(<mcmcr>): Number of Chains

nchains(<mcmcrs>): Number of Chains

niters(<matrix>): Number of Iterations

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