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.