runLinking(method = "FIXEDPAR")was not working when the anchor instrument ID was not 1 in item map.
runLinking(method = "FIXEDPAR")was not working when the anchor and target instruments had different numbers of categories in response data.
runFrequency()was not sorting categories correctly when the number of categories was 10 or above.
runCalibration(fixedpar = TRUE)was not reading anchor parameters correctly when an integer value existed in anchor parameters.
loadData()now sanitizes input data when a data frame is supplied.
method = 'CPFIXEDDIM'to perform two-dimensional calibration, for use in performing calibrated projection (Thissen et al., 2015). The difference with
method = 'CP'is that
'CPFIXEDDIM'constrains the mean and the variance of the latent anchor dimension, instead of constraining anchor item parameters. For this purpose, a unidimensional fixed parameter calibration using only the anchor response data is performed to obtain the mean and the variance.
getRSSS()for computing a single raw-score to standard-score table is now exposed.
method = 'CP'to perform two-dimensional calibration, for use in performing calibrated projection (Thissen et al., 2011).
method = 'CPLA'to perform two-dimensional calibration, for use in performing linear approximation of calibrated projection (Thissen et al., 2015).
runRSSS()now performs two-dimensional Lord-Wingersky recursion with numerical integration, when the output from
runLinking(method = 'CP')is supplied.
runRSSS()now performs linear approximation of calibrated projection, when the output from
runLinking(method = 'CPLA')is supplied.
PROsetta()now supports calibrated projection and its linear approximation.
createConfig()are now deprecated. The functionalities are merged to
run*()functions now require
PROsetta_dataobjects instead of
methodargument to specify the type of linking to perform. Accepts
runLinking()is now capable of performing fixed calibration.
runCalibration()now performs free calibration by default.
runLinking()now errors when iteration limit is reached, without returning results.
runRSSS()now returns thetas in addition to T-scores, and also expected scores in each scale.
type_toargument to specify direct raw -> T-score equating or regular raw -> raw equating.
plot()for drawing raw score distribution histograms.
plotInfo()for drawing scale information plots.
loadData()now removes missing values.