Statistical tests
Performs Likelihood-ratio, Wald and score tests
compare(object, ...)
object
: lvmfit
-object...
: Additional arguments to low-level functionsMatrix of test-statistics and p-values
m <- lvm(); regression(m) <- c(y1,y2,y3) ~ eta; latent(m) <- ~eta regression(m) <- eta ~ x m2 <- regression(m, c(y3,eta) ~ x) set.seed(1) d <- sim(m,1000) e <- estimate(m,d) e2 <- estimate(m2,d) compare(e) compare(e,e2) ## LRT, H0: y3<-x=0 compare(e,scoretest=y3~x) ## Score-test, H0: y3~x=0 compare(e2,par=c("y3~x")) ## Wald-test, H0: y3~x=0 B <- diag(2); colnames(B) <- c("y2~eta","y3~eta") compare(e2,contrast=B,null=c(1,1)) B <- rep(0,length(coef(e2))); B[1:3] <- 1 compare(e2,contrast=B) compare(e,scoretest=list(y3~x,y2~x))
modelsearch
, equivalence
Klaus K. Holst