## ----eval=FALSE---------------------------------------------------------------
# library(GDINA)
# dat <- sim10GDINA$simdat
# Q <- matrix(c(1,0,0,
#               0,1,0,
#               0,0,1,
#               1,0,1,
#               0,1,1,
#               1,1,0,
#               0,0,1,
#               1,0,0,
#               1,1,1,
#               1,0,1),byrow = T,ncol = 3)

## ----eval=FALSE---------------------------------------------------------------
# est <- GDINA(dat = dat, Q = Q, model = "GDINA")

## ----eval=FALSE---------------------------------------------------------------
# Qv <- Qval(est)
# Qv

## ----eval=FALSE---------------------------------------------------------------
# Qv2 <- Qval(est,method = "Wald")
# Qv2

## ----eval=FALSE---------------------------------------------------------------
# plot(Qv, item = 9)

## ----eval=FALSE---------------------------------------------------------------
# mc <- modelcomp(est)
# mc

## ----eval=FALSE---------------------------------------------------------------
# # test level absolute fit
# mft <- modelfit(est)
# mft
# # item level absolute fit
# ift <- itemfit(est)
# ift
# summary(ift)
# plot(ift)

## ----eval=FALSE---------------------------------------------------------------
# CA(est)