reconstruct: reconstructs N by J data matrix using the estimated item...
In zhenkewu/slamR: Structured Latent Attribute Models in R

Description Usage Arguments Value See Also Examples

To reconstruct without c or g, use get_ideal_resp(Q_est,Z_est)

1	reconstruct(Z_est, Q_est, c, g, model = "DINA")

`Z_est`	N by K of estimated attributes
`Q_est`	J by K of estimated Q
`c`	J vector of 1-slipping parameters
`g`	J vector of guessing parameters
`model`	"DINA" (default), or "DINO"

N by J matrix; use p_correct >0.5 as reconstruction

get_ideal_resp

set.seed(60)
Z_est <- matrix((rnorm(200)>0)+0,nrow=50,ncol=4)
Q_est <- matrix(c(1,1,1,1,0,0,1,0,1,0,1,0,1,1,1,0,0,0,0,1,1,0,0,1),ncol=4,
byrow=TRUE)
c <- rep(0.8,nrow(Q_est))
g <- 1-c
reconstruct(Z_est,Q_est,c,g)