generate_X_DINA: simulate data according to DINA

In zhenkewu/slamR: Structured Latent Attribute Models in R

Description

may be redundant; this can be done by generate_X_fromA

Usage

generate_X_DINA(N, p, Q, c, g)

Arguments

N	sample size
p	2^K by 1 vector of prevalence probabilities
Q	M by K item-attribute relationship
c	M by 1 one minus slipping parameters
g	M by 1 guessing parameters

Value

• X N by M matrix of responses

• A N by K matrix of attributes for N individuals

Examples

N <- 1000
#p <- c(1,rep(0,7))
p <- c(rep(0,7),1)
#p <- c(0.1,0.1,0.1,0.1,0.1,0.2,0.3,0)
Q <- matrix(c(0,0,0, 0,0,1, 0,1,0,
              0,1,1, 1,0,0, 1,0,1,
              1,1,0, 1,1,1),ncol=3,byrow=TRUE)

M <- nrow(Q)
c <- rep(0.8,M)
g <- rep(0.2,M)

generate_X_DINA(N,p,Q,c,g)

zhenkewu/slamR documentation built on March 8, 2020, 1:31 a.m.