lp: Extract the linear predictors

In bozenne/lava.reduce: Latent Variable Models with linear predictor

Description

Extract the linear predictors of a lvm object

Usage

lp(x, ...)

## S3 method for class 'lvm.reduced'
lp(x, type = "name", lp = NULL, format = "vector",
  ...)

Arguments

x	lvm-object
...	additional arguments to be passed to the low level functions
type	slot to be return. Can be "link", "x", "con", "name"
lp	which linear predictor to consider
format	should the results be kept as the list or returned as a single vector

Examples

## regresssion
m <- lvm.reduced()
m <- regression(m, x=paste0("x",1:10),y="y", reduce = TRUE)
lp(m)
lp(m, type = c("x","link"), format = "list2")
lp(m, type = NULL)

## lvm
m <- lvm.reduced()
m <- regression(m, x=paste0("x",1:10),y="y1", reduce = TRUE)
m <- regression(m, x=paste0("x",51:150),y="y2", reduce = TRUE)
covariance(m) <- y1~y2

lp(m)
lp(m, type = "x", format = "list")
lp(m, lp = 1, type = "link")

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