beta_mean {miniLNM}R Documentation

LNM Posterior Mean

Description

Average the samples for the beta parameter from the VB posterior mean. This is used to get predicted compositions when using predict on an lnm model.

Usage

beta_mean(fit)

Arguments

fit

An object of class lnm whose estimate slot contains the 'rstan' fitted logistic normal multinomial model.

Value

A matrix whose rows are predictors and columns are outcomes in the beta parameter for the LNM model.

Examples

example_data <- lnm_data(N = 50, K = 10)
xy <- dplyr::bind_cols(example_data[c("X", "y")])
fit <- lnm(
    starts_with("y") ~ starts_with("x"), xy, 
    iter = 25, output_samples = 25
)
beta_mean(fit)

[Package miniLNM version 0.1.0 Index]