elasticities.choicer_mxl: Elasticities for mixed logit model

In choicer: Discrete Choice Models for Economic Applications

Elasticities for mixed logit model

Description

Elasticities for mixed logit model

Usage

## S3 method for class 'choicer_mxl'
elasticities(object, elast_var, is_random_coef = FALSE, ...)

Arguments

object	A choicer_mxl object fitted with keep_data = TRUE.
elast_var	Variable for elasticity computation: a column name (character) or 1-based index. Indexes into X columns for fixed coefficients, or W columns for random coefficients (when is_random_coef = TRUE).
is_random_coef	Logical. TRUE if the variable has a random coefficient (is in W), FALSE if fixed (in X). Default FALSE.
...	Additional arguments (ignored).

Value

A J x J elasticity matrix with alternative labels.

Examples

library(data.table)
set.seed(42)
N <- 50; J <- 3
dt <- data.table(id = rep(1:N, each = J), alt = rep(1:J, N))
dt[, `:=`(x1 = rnorm(.N), w1 = rnorm(.N))]
dt[, choice := 0L]
dt[, choice := sample(c(1L, rep(0L, J - 1))), by = id]
fit <- run_mxlogit(
  data = dt, id_col = "id", alt_col = "alt", choice_col = "choice",
  covariate_cols = "x1", random_var_cols = "w1", S = 50L
)
elasticities(fit, "x1")
elasticities(fit, "w1", is_random_coef = TRUE)

choicer documentation built on Sept. 5, 2026, 1:07 a.m.