parameter_labels: Create parameters labels

In RprobitB: Bayesian Probit Choice Modeling

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
)

Arguments

P_f	The number of covariates connected to a fixed coefficient (can be 0).
P_r	The number of covariates connected to a random coefficient (can be 0).
J	The number (greater or equal 2) of choice alternatives.
cov_sym	Set to TRUE for labels of symmetric covariance elements.
ordered	A boolean, FALSE per default. If TRUE, the choice set alternatives is assumed to be ordered from worst to best.
keep_par	A vector of parameter names which are kept.
drop_par	A vector of parameter names which get dropped.

Value

A list of labels for the selected model parameters.

Examples

RprobitB:::parameter_labels(P_f = 1, P_r = 2, J = 3, C = 2, cov_sym = TRUE)

RprobitB documentation built on Nov. 10, 2022, 5:12 p.m.