reduce: Aggregate exogeneous variables associated with penalties

In bozenne/lava.penalty: Penalized Latent Variable Models

Description

Aggregate exogeneous variables associated with penalties into a linear predictor

Usage

lavaPenalty.reduce.hook(x, link = NULL, ...)

Arguments

x	lvm-object
link	the links that should be included in the linear predictor
...	other arguments to be passed to lavaReduce::reduce.lvm

Examples

 
m <- lvm()
m <- regression(m, x=paste0("x",1:10),y="y")
pm <- penalize(m)
res <- reduce(pm)
reduce(pm, link = y~x1+x2+x3)

bozenne/lava.penalty documentation built on May 13, 2019, 1:41 a.m.