generate_X_fromA: generate simulated data A

In zhenkewu/slamR: Structured Latent Attribute Models in R

Description

Default to DINA

Usage

generate_X_fromA(N, A, p, Q, c, g, model = "DINA")

Arguments

N	sample size
A	K column latent state attributes (unique rows)
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
model	"DINA"(default) or "DINO"

Details

shorter p compared to generate_X_DINA

Value

• X: N by M matrix of responses

• Z: N by K matrix of attributes for N individuals

• X_true: N by M ideal response matrix

Examples

N <- 1000
A <- rbind(c(1,1,1),c(0,0,1))
p <- c(0.9,0.1)
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_fromA(N,A,p,Q,c,g)

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