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 |
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]