## ----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)