get_rp: calculates marginal probabilities of all the 2^J possible...
In zhenkewu/slamR: Structured Latent Attribute Models in R

calculates marginal probabilities of all the 2^J possible response patterns

1	get_rp(A, Q, c, g, I_full)

`A`	K-column, latent attribute profile matrix
`Q`	M by K Q matrix
`c`	M by 1: 1-slipping
`g`	M by 1 guessing parameter
`I_full`	J-column matrix; Each row is one of 2^J patterns under consideration can be generated by `rbind(rep(0,J),get_I(J,J))`

A <- rbind(c(1,1,1),c(0,0,1))
Q <- rbind(c(1,0,0),c(1,0,0),c(0,1,0),c(1,1,1))
c <- c(0.8,0.8,0.8,0.8)
g <- 1-c(0.8,0.8,0.8,0.8)
I_full <- rbind(rep(0,4), get_I(4,4))
get_rp(A,Q,c,g,I_full)