point_estimates: Compute point estimates

In RprobitB: Bayesian Probit Choice Modeling

Compute point estimates

Description

This function computes the point estimates of an RprobitB_fit. Per default, the mean of the Gibbs samples is used as a point estimate. However, any statistic that computes a single numeric value out of a vector of Gibbs samples can be specified for FUN.

Usage

point_estimates(x, FUN = mean)

Arguments

x	An object of class RprobitB_fit.
FUN	A function that computes a single numeric value out of a vector of numeric values.

Value

An object of class RprobitB_parameter.

Examples

data <- simulate_choices(form = choice ~ covariate, N = 10, T = 10, J = 2)
model <- fit_model(data)
point_estimates(model)
point_estimates(model, FUN = median)

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