getIvar.lvm: Extract the variables related to each parameter

In bozenne/lava.penalty: Penalized Latent Variable Models

Description

Extract the variables related to each parameter

Usage

getIvar.lvm(x, link = NULL, data = NULL, format = "data.table",
  rm.factice = TRUE)

Arguments

x	a lvm model
link	the links to be analysed. If NULL, all the coefficients from the lvm model are used instead.
data	the dataset that will be used to fit the model. If NULL, a simulated data will be generated from the model.
format	the type of object to output. Can be "data.frame", "data.table", or "matrix".
rm.factice	should links corresponding to factor variables be removed since they will be transformed in external parameters?

Examples

 
m <- lvm(Y~X1+X2)
categorical(m, K = 3) <- "X1"
try(getIvar.lvm(m)) # error

categorical(m, K = 3, labels = 1:3) <- "X1"
getIvar.lvm(m)
getIvar.lvm(m, "Y~X1")
getIvar.lvm(m, "X1:0|1")
getIvar.lvm(m, "X1:1|2")
getIvar.lvm(m, c("X1:0|1", "X1:1|2"))
getIvar.lvm(m, c("Y~X1","Y~X2"))
getIvar.lvm(m, c("Y~X2","Y~X1"))

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