Create plots of bivariate heatmap for item fit
# S3 method for itemfit
plot(x, type = "all", adjusted = TRUE, ...)
Arguments
- x
model object of class itemfit
- type
type of heatmap plot
- adjusted
logical; plot adjusted or unadjusted p-values?
- ...
additional arguments
Examples
if (FALSE) {
dat <- sim10GDINA$simdat
Q <- sim10GDINA$simQ
fit <- GDINA(dat = dat, Q = Q, model = "GDINA")
ift <- itemfit(fit)
# plot the adjusted p values for log odds or transformed correlation
plot(ift)
# plot unadjusted p values for log odds
plot(ift,adjusted = FALSE, type = "logOR")
}