PROsetta 0.2.0

New features

runLinking() now supports method = 'CP' to perform two-dimensional calibration, for use in performing calibrated projection (Thissen et al., 2011).
runLinking() now supports 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.
Shiny application PROsetta() now supports calibrated projection and its linear approximation.

PROsetta_config class and createConfig() are now deprecated. The functionalities are merged to PROsetta_data class and loadData().
run*() functions now require PROsetta_data objects instead of PROsetta_config objects.
runLinking() now has method argument to specify the type of linking to perform. Accepts MM, MS, HB, SL, and FIXEDPAR.

runLinking() is now capable of performing fixed calibration.
runCalibration() now performs free calibration by default.
runCalibration() and 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.
runEquateObserved() now has type_to argument to specify direct raw -> T-score equating or regular raw -> raw equating.
Functions are now more verbose.
Added PROMIS Depression - CES-D linking dataset data_dep.
Added plot() for drawing raw score distribution histograms.
Added plotInfo() for drawing scale information plots.
Added several helper functions.
Made cosmetic improvements on Shiny app.

Fixed where Shiny app was displaying SL method linear transformation constants regardless of specified linking method.

Added scalewise argument to runClassical() and runCFA(). When TRUE, analysis is performed for each scale.
runEquateObserved() now removes missing values to produce correct raw sums.
loadData() now retains missing values.