parameter_labels: Create parameters labels
In RprobitB: Bayesian Probit Choice Modeling

parameter_labels

R Documentation

Create parameters labels

Description

This function creates model parameter labels.

Usage

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

create_labels_s(P_r, C)

create_labels_alpha(P_f)

create_labels_b(P_r, C)

create_labels_Omega(P_r, C, cov_sym)

create_labels_Sigma(J, cov_sym, ordered = FALSE)

create_labels_d(J, ordered)

Arguments

`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.