Parameter descriptions

Arguments

x

An object.

scalar

A logical scalar specifying whether to include all parameters (NULL), only scalars (TRUE) or all parameters except scalars (FALSE).

terms

A logical scalar specifying whether to provide the parameters for each term.

nas

A flag specifying whether to also fill missing values.

nthin

A positive integer of the thinning rate.

by

A string indicating whether to determine by "term", "parameter" or "all".

as_df

A flag indicating whether to return the results as a data frame versus a named list.

fun

A function that given a numeric vector returns a numeric scalar.

bound

flag specifying whether to bind mcmcrs objects by their chains before calculating rhat.

rhat

The maximum rhat value.

esr

The minimum effective sampling rate.

na_rm

A flag specifying whether to ignore missing values.

parameters

A character vector (or NULL) of the parameters to subset by.

iterations

An integer vector (or NULL) of the iterations to subset by.

...

Unused.

x2

a second MCMC object.

x_name

A string of the name of the object.

error

A flag indicating whether to throw an informative error or immediately generate an informative message if the check fails.

sorted

A flag specifying whether the parameters must be sorted.

object

The MCMC object to get the coefficients for

conf_level

A number specifying the confidence level. By default 0.95.

estimate

The function to use to calculate the estimate.

simplify

A flag specifying whether to return just the estimate, lower, upper and svalue.

perm

A integer vector of the new order for the parameter dimensions.

pars

A character vector (or NULL) of the pars to zero.

name

A string specifying the parameter name.