PROsetta 0.4.2.9000
Bug Fixes
- Fixed Rd cross-reference NOTE by adding package anchors to
\link{}and\linkS4class{}targets.
- Updated documentation for runEquateObserved()andSingleGroupClassto ensure proper linking to external
packages.
Improvements
- Improved clarity in help files by specifying external package
sources.
- Enhanced compatibility with CRAN checks.
Other
- Minor formatting updates to .Rdfiles.
PROsetta 0.4.1
New features
- Added support for working with GPC models.
- Added support for when items between instruments have different item
models. (e.g., the anchoring instrument uses GR, and the instrument
being calibrated uses GPC.)
- Added support for when items within the anchoring instrument use
different item models. (e.g., the anchoring instrument uses GR for some
items and GPC for others.)
- Added support for when items within the instrument being calibrated
use different item models. (e.g., the instrument being calibrated uses
GR for some items and GPC for others.)
Bug fixes
- Fixed where loadData()would not warn about items that
may need reverse coding for scale IDs other than 1.
PROsetta 0.4.1
- Now requires TestDesign (>= 1.5.1).
- Response probabilities are now computed faster using cpp
functions.
- Deprecated guiPROsetta()is removed. UsePROsetta()instead.
- Updated documentation.
- Made minor updates to the Shiny app in PROsetta().
- Removed ncatcolumn in anchor parameters. This is now
inferred from the number of parameters.
- Added cpp routine for EAP computation after Lord-Wingersky
recursion. This improves the speed of runRSSS().
- getRSSS()now nudges the user if the prior mean input
looks like a T-score, which should be entered in the theta metric.
- Updated CITATION to use bibentry()to meet CRAN
requirements.
PROsetta 0.3.5
- runRSSS()output now includes linear approximation
betas when the- CPLAmethod is used.
- runLinking()output now includes the latent mean and
variance when the- FIXEDPARmethod is used.
- runCalibration(),- runLinking(),- runEquateObserved(),- getCompleteData()gains- verboseargument for printing status messages. Status
messages that were used to be printed in previous versions are now
suppressed by default.
PROsetta 0.3.4
- Removed unused columns (min_score,reverse,scores) in example datasets for
clarity. The package functions do not use these columns.
- loadData()now warns if there is a variable that may
need reverse coding. This is triggered by a negative correlation
value.
PROsetta 0.3.2
- Fixed where runLinking(method = "FIXEDPAR")was not
working when the anchor instrument ID was not 1 in item map.
- Fixed where runLinking(method = "FIXEDPAR")was not
working when the anchor and target instruments had different numbers of
categories in response data.
- Fixed where runFrequency()was not sorting categories
correctly when the number of categories was 10 or above.
- Fixed where runCalibration(fixedpar = TRUE)was not
reading anchor parameters correctly when an integer value existed in
anchor parameters.
- Fixed where item parameters for dichotomous items were triggering an
error while being parsed.
- For compatibility with R < 4.0, loadData()now
sanitizes input data when a data frame is supplied.
PROsetta 0.3.0
New features
- 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.
PROsetta 0.2.1
QoL updates
- Added getResponse()for extracting scale-wise response
data from aPROsetta_dataobject.
- Added getItemNames()for extracting scale-wise item
names from aPROsetta_dataobject.
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.
Bug fixes
- runEquateObserved(type_to = "theta")now works.
- loadData()now checks for a valid- @scale_id.
PROsetta 0.1.4
Structural changes
- PROsetta_configclass and- createConfig()are now deprecated. The functionalities are merged to- PROsetta_dataclass and- loadData().
- run*()functions now require- PROsetta_dataobjects instead of- PROsetta_configobjects.
- runLinking()now has- methodargument to
specify the type of linking to perform. Accepts- MM,- MS,- HB,- SL, and- FIXEDPAR.
Updates
- 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_toargument 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.
Bug fixes
- Fixed where Shiny app was displaying SL method linear transformation
constants regardless of specified linking method.
PROsetta 0.0.4
- Added scalewiseargument torunClassical()andrunCFA(). WhenTRUE, analysis is performed
for each scale.
- runEquateObserved()now removes missing values to
produce correct raw sums.
- loadData()now retains missing values.
PROsetta 0.0.3
- loadData()now removes missing values.