params: Parameter descriptions
In mcmcr: Manipulate MCMC Samples

Parameter descriptions

`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.