exhaustiveRasch 0.3.7
This release fixes a bug with automatic removal of certain tests
Bug fixes
When tests are automatically removed (e.g. ‘threshold_order’ for
dichotomous models or ‘test_mloef’ when using pairwise estimation), the
wrong test was removed from the vector of tests. This was fixed. Outputs
to the console concerning notices like these (or e.g. automatic shifting
item categories to 0) are now implemented as messagages, so these
outputs to the console can be suppressed by wrapping the call to
‘exhaustive_tests()’ in ‘suppressMessages()’.
exhaustiveRasch 0.3.6
This release adds verbose argument to exhaustive_tests() and fixes
some documentation and code issues.
Bug fixes
fixed some documentation and code issues not related to bugs or
functionality
New features
new argument in main function exhaustive_tests():
verbose. set verbose=TRUE to suppress output to the console
during the analysis. Note, there will also be no progress bar, if
verbose=TRUE. The default value for verbose is verbose=FALSE.
exhaustiveRasch 0.3.5
This release fixes some minor errors in the documentation.
exhaustiveRasch 0.3.4
This release fixes some minor errors in the documentation.
exhaustiveRasch 0.3.3
This release fixes several bugs and adds some more documentation.
Bug fixes
fixed bug that ppar.psy could not be used outside of the package with
standard objects created by psychotools (because of the missing
“thresholds” list entry)
exhaustiveRasch 0.3.2
This release fixes several bugs and changes minor parts of the
handling.
changed features and
usability
the parameters sum0 and se were removed from estimation_control().
From this version on, item parameters are always estimated summed to
zero, and standard errors are always computed. The parameters resp.cat
and use.thurst for pairwise estimation have moved from
pairwise_control() to estimation_control(). The function
pairwise_control() was removed.
Bug fixes
fixed error messages with RSM-models estimated with eRm (issue in
context of calculating hessians). Affected item combinations are
considered as not passing the test. When estimating with psychotools, no
models passed test_personsItems. This bug was fixed. The bug, that
waldtests with PCM models resulted in 0 passed models was also
fixed.
Contributors
as code from the packages pairwise and eRm was used (cited in the
respective functions), the authors and contributors of these packages
were added as contributors in the DESCRIPTION file.
exhaustiveRasch 0.3.1
This release adds some new (changed) functionality.
New features
This version implements parameter calculation (not estimation) using
the pairwise approach and the respective model tests provided by the
pairwise package. Parameters resp.cat and use.thurst for pairwise
estimation can be set using the new function pairwise_control(). Person
parameters are no longer calculated for each test, but are passed from
test to test and are part (as an additional slot of the S4-class) of the
passed_exRa object, if a test relying on person parameters is part of
the test circuit. When using psychotools for estimation, the results are
no longer converted to an eRm class, and functions of eRm are no longer
used in this case. There are new internal functions for model tests
based on psychotools estimations since this version.
exhaustiveRasch 0.2.2
This release fixes two bugs.
Bug fixes
Accidently, the add_ICs() function was ignored when compiling the
package, so it was not available. This bug was fixed. The C- and
FORTRAN- code from eRm (originally from the sna package) is now
integrated into the package. Previously it was imported from eRm. This
was changed to to CRAN’s restrictions that (of course!) does not allow
importing compiled code from other packages.
exhaustiveRasch 0.2.1
This release adds some new functionality.
New features
- new argument in main function: estimation_param.
The est argument, that was introduced in version 0.2.0, has now moved
into this new parameter. This list type argument also offers arguments
for the calculation of standard errors for the item parameters (argument
se**) and, if opting for parameter estimation using eRm function, the
sum0 argument known from eRm. Default values for estimation_param can be
set by using the function call estimation_control() and can be overriden
by providing one or more of its arguments. As with the arguments of
itemfit_control(), the arguments of estimation_control() can
alternatively be given directly as optional arguments of
exhaustive_tests().
- new test: test_PSI a new test, that can be used in
the tests- argument of exhaustive_tests. The tests checks, if the Person
Seperation Index (also known als Person Seperation Reliability) is at
least equal than the value provided in the argument PSI.
If using “psychotools” as the value for the est argument, this will
now also affect calculation times for test_mloef, test_waldtest and
test_LR. You can expect shorter runtimes by at least the factor 2-3.
new dataset
an additional dataset “cognition” was added. This datasets provides
polytomous data of the FACT-cog subscale “perceived cognitive
impairment” with 5 item categories. See the package description for
information on item labels and answer categories.
Bug fixes
several bugs that lead to error messages were fixed.
exhaustiveRasch 0.2.0
This release adds some new functionality.
New feature
- new argument in main function: est. Setting the
argument to “psychotools” will speed up model estimation by using the
estimation functions of the package of the same name. Use est=eRm” for
the old behaviour.”
exhaustiveRasch 0.1.8
This release adds some new (changed) functionality.
New features
- new function: add_ICs(). Passing an object of class
passed_exRa will add information criteria in the @IC slot for all models in the
@passed_models
slot.
Bug fixes
- in some cases unordered thresholds were not correctly recognized
when using threshold_order as one of the tests in
exhaustive_tests(). This bug was fixed.
- several minor bug fixes
Other changes
- in the remove_subsets() function, the default value for the
keep_longest argument was changed to FALSE.
- to reduce runtimes, the calculation of information criteria for the
remaining models in exhaustive_tests() is no longer done by
default. A new argument ICs with FALSE as the default value was
added to the function. Set this argument TRUE for calculating the
information criteria. If this argument is set to FALSE, the data.frame
in the @IC sot of the
passed_exRa object will be empty. You can add the information
criteria later with a call to the new function add_ICs(). The
calculation of ICs was accelerated, as the new function
add_ICs() now uses the parallels package.
- in exhaustive_tests() (and also in the new function
add_ICs) the defalut value of the argument ignoreCores
was changed from 0 to 1.
exhaustiveRasch 0.1.7
This release adds some new functionality.
New features
- new test available: test_respca. This test runs a
principal component analysis (PCA) on the residuals of the rasch model.
The test will be passed, if the maximum eigenwert of a contrast in the
pca is below the max_contrast argument. You can call the test
from the tests argument of the exhaustive_tests()
function. Provide the max_contrast argument to
exhaustive_tests() (if you do not want to use the default value
of 1.5)
- new test available: no_test. This is not really a
test, as no test will be conducted. But rasch models (RM, PCM, RSM -
depending on the modelType argument) will be fit. You can use this
“test” in the tests argument of the exhaustive_tests()
function, if you have a a set of item combinations and want to run
several tests with varying test criteria. In this case you could first
run one call to exhaustive_tests() to fit rasch models for all
item combinations and then use the returned object of class
passed_exRa for all tests to follow. This will speed up the
following analyses, as the models has already been fit.
Unit tests added
- unit tests were added in the testthat folder below the tests
folder.
Bug fixes
- the bug that led to no item combination passing the
all_rawscores test when using it with polytomous data
(modelType PCM or RSM) has been fixed
- several minor bug fixes
Other changes
- all code was re-formatted to not extend 80 characters in width.