Item fit plots — plot.itemfit • GDINA

Create plots of bivariate heatmap for item fit

# S3 method for class '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

See also

GDINA, itemfit

Examples

if (FALSE) { # \dontrun{
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")
} # }