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TestDesign (>= 1.5.1)
.guiPROsetta()
is removed. Use
PROsetta()
instead.PROsetta()
.ncat
column in anchor parameters. This is now
inferred from the number of parameters.runRSSS()
.getRSSS()
now nudges the user if the prior mean input
looks like a T-score, which should be entered in the theta metric.bibentry()
to meet CRAN
requirements.runRSSS()
output now includes linear approximation
betas when the CPLA
method is used.runLinking()
output now includes the latent mean and
variance when the FIXEDPAR
method is used.runCalibration()
, runLinking()
,
runEquateObserved()
, getCompleteData()
gains
verbose
argument for printing status messages. Status
messages that were used to be printed in previous versions are now
suppressed by default.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.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.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.getResponse()
for extracting scale-wise response
data from a PROsetta_data
object.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.PROsetta()
now supports calibrated
projection and its linear approximation.runEquateObserved(type_to = "theta")
now works.loadData()
now checks for a valid
@scale_id
.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.data_dep
.plot()
for drawing raw score distribution
histograms.plotInfo()
for drawing scale information
plots.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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.