`runLinking()`

now supports`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.

- Added
`getResponse()`

for extracting scale-wise response data from a`PROsetta_data`

object. - Added
`getItemNames()`

for extracting scale-wise item names from a`PROsetta_data`

object.

`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.

`runEquateObserved(type_to = "theta")`

now works.`loadData()`

now checks for a valid`@scale_id`

.

- First public release.

`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.

`loadData()`

now removes missing values.