mirt (version 0.2.1)

fscores: Methods for Function fscores

Description

Computes MAP, EAP, or ML factor scores for mirt and bfactor models, or a stochastic approximation with a multivariate normal prior for polymirt and confmirt. Note that only the general factor scores are computed for bifactor models.

Arguments

object

a model of class mirtClass, bfactorClass, polymirtClass, or confmirtClass

full.scores

if FALSE (default) then a summary table with factor scores for each unique pattern is displayed. Otherwise the original data matrix is returned with the computed factor scores appended to the rightmost column

method

type of factor score estimation method. Can be expected a-posteriori ("EAP"), Bayes modal ("MAP"), or maximum likelihood ("ML")

ndraws

number of MH samples to draw for each response pattern

thin

controls how much the chain should be thinned by, default collects every 5th draw (thin = 5). Note that ndraws/thin must be a whole number

...

additional arguments to be passed

Value

• Returns either a summary table with the response patterns and expected factor scores, or a complete data matrix with factor scores appended to the last column.

Examples

tabscores <- fscores(mod)
fullscores <- fscores(mod, full.scores = TRUE)
fullscores <- fscores(mod, full.scores = TRUE, method='MAP')