filter_gibbs_samples: Filter Gibbs samples
In RprobitB: Bayesian Probit Choice Modeling

filter_gibbs_samples

R Documentation

Filter Gibbs samples

Description

This is a helper function that filters Gibbs samples.

Usage

filter_gibbs_samples(
  x,
  P_f,
  P_r,
  J,
  C,
  cov_sym,
  ordered = FALSE,
  keep_par = c("s", "alpha", "b", "Omega", "Sigma", "d"),
  drop_par = NULL
)

Arguments

`x`	An object of class `RprobitB_gibbs_samples`.
`P_f`	[`integer(1)`] The number of covariates connected to a fixed coefficient.
`P_r`	[`integer(2)`] The number of covariates connected to a random coefficient.
`J`	[`integer(1)`] The number >= 2 of choice alternatives.
`cov_sym`	Set to `TRUE` for labels of symmetric covariance elements.
`ordered`	[`logical(1)`] If `TRUE`, the choice set `alternatives` is assumed to be ordered from worst to best.
`keep_par`, `drop_par`	A vector of parameter names which are kept or dropped.