overview_effects: Overview of effects.
In RprobitB: Bayes Estimation of Latent Class Mixed Multinomial Probit Models

This function gives an overview of the linear coefficients and whether they are connected to random effects.

1	overview_effects(form, re = NULL, alternatives)

form

A formula object that is used to specify the probit model. The structure is choice ~ A | B | C, where

A are names of alternative and choice situation specific covariates with a generic coefficient,
B are names of choice situation specific covariates with alternative specific coefficients,
and C are names of alternative and choice situation specific covariates with alternative specific coefficients.

Separate multiple covariates of one type by a + sign. By default, alternative specific constants (ASCs) are added to the model (for all except for the last alternative). They can be removed by adding +0 in the second spot. See the vignette vignette("data_management", package = "RprobitB") for more details.

re

A character (vector) of covariates of form with random effects. If re = NULL (the default), there are no random effects. To have random effects for the alternative specific constants, include "ASC" in re.

alternatives

A character vector with the names of the choice alternatives. If not specified, the choice set is defined by the observed choices.

A data frame with the coefficient names and booleans indicating whether they are connected to random effects.

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