create_parameter_labels: Create parameters labels.

In RprobitB: Bayes Estimation of Latent Class Mixed Multinomial Probit Models

Description

This function creates labels for the model parameters.

Usage

create_parameter_labels(
  P_f,
  P_r,
  J,
  C,
  cov_sym,
  keep_par = c("s", "alpha", "b", "Omega", "Sigma"),
  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.
C	The number of latent classes.
cov_sym	If TRUE considers symmetric covariance matrix elements.
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 model parameters.

RprobitB documentation built on Nov. 12, 2021, 5:08 p.m.