S3 Generics for Bayesian Analyses


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Documentation for package ‘universals’ version 0.0.5

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bind_chains Bind by Chains.
bind_iterations Bind Iterations
collapse_chains Collapse Chains
collapse_chains.default Collapse Chains
converged Converged
converged_pars Converged Parameters
converged_terms Converged Terms
dims Dimensions
dims.default Dimensions
dims.factor Dimensions
esr Effective Sampling Rate
esr_pars Effective Sampling Rate for Parameters
esr_terms Effective Sampling Rate for Terms
estimates Estimates
nchains Number of Chains
ndims Number of Dimensions
ndims.data.frame Number of Dimensions
ndims.default Number of Dimensions
ndims.matrix Number of Dimensions
niters Number of Iterations
npars Number of Parameters
npars.default Number of Parameters
npdims Number of Parameter Dimensions
npdims.default Number of Parameter Dimensions
nsams Number of Samples
nsams.default Number of Samples
nsims Number of Simulations
nsims.default Number of Simulations
nterms Number of Terms
pars Parameter Names
pars<- Set Parameters
pdims Parameter Dimensions
rhat R-hat
rhat_pars R-hat Parameters
rhat_terms R-hat Terms
set_pars Set Parameters
split_chains Split Chains