print.summary.choicer_mnp: Print summary for Bayesian multinomial probit model

In choicer: Discrete Choice Models for Economic Applications

Print summary for Bayesian multinomial probit model

Description

Print summary for Bayesian multinomial probit model

Usage

## S3 method for class 'summary.choicer_mnp'
print(x, ...)

Arguments

x	A summary.choicer_mnp object.
...	Additional arguments (ignored).

Value

The object invisibly.

Examples

library(data.table)
set.seed(42)
N <- 100; J <- 3
dt <- data.table(id = rep(1:N, each = J), alt = rep(1:J, N))
dt[, `:=`(x1 = rnorm(.N), x2 = rnorm(.N))]
dt[, choice := 0L]
dt[, choice := sample(c(1L, rep(0L, J - 1))), by = id]
fit <- run_mnprobit(dt, "id", "alt", "choice", c("x1", "x2"),
                    mcmc = list(R = 300, burn = 100))
print(summary(fit))

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