| modelsearch {lava} | R Documentation |
Performs Wald or score tests
modelsearch(x, k = 1, dir = "forward", ...)
x |
|
k |
Number of parameters to test simultaneously. For |
dir |
Direction to do model search. "forward" := add associations/arrows to model/graph (score tests), "backward" := remove associations/arrows from model/graph (wald test) |
... |
Additional arguments to be passed to the low level functions |
Matrix of test-statistics and p-values
Klaus K. Holst
m <- lvm(); regression(m) <- c(y1,y2,y3) ~ eta; latent(m) <- ~eta regression(m) <- eta ~ x m0 <- m; regression(m0) <- y2 ~ x dd <- sim(m0,100)[,manifest(m0)] e <- estimate(m,dd); modelsearch(e,silent=TRUE)