Item fit plots
Create plots of bivariate heatmap for item fit
## S3 method for class 'itemfit' plot(x, type = "all", adjusted = TRUE, ...)
x |
model object of class |
type |
type of heatmap plot |
adjusted |
logical; plot adjusted or unadjusted p-values? |
... |
additional arguments |
## Not run: 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") ## End(Not run)
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