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

See also

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") }