High-Performance Open-Source Archive
NEWS.Rd file to NEWS.md file
to be more consistent with current style preferences.eapEst, and the latter is implemented to
calculate weighted Fisher and KL information for
itChoose.simIrt to calculate probabilities in C before
simulating responses (rather than calculating probabilities and
simulating responses at the same time). This change can result in a
slightly different matrix of responses to items due to the alteration of
simulation order.FI and KL functions so that item
information would be presented in a person by item dimension matrix
rather than an item by person dimension matrix.catIrt, so that if in
non-interactive/batch mode, the CAT would not automatically set “n.max”
to nrow(params).print.catIrt, so that it would display
the correct precision-based stopping rule.wleEst, so that the interval would
naturally extend if the first derivative of the log-likelihood evaluated
to the same sign.catR package, namely the deletion of the
createItemBank function.WFI (weighted Fisher information),
so that it would not error if only 0-1 items had been taken in the
CAT.WFI (weighted Fisher information), so
that it would not error if only 0-1 items had been taken in the
CAT.catStart/catMiddle list and to the
itChoose function to restrict the difficulty parameters (in
a binary response model) to be within a particular range.catIrt, so that letting
catStart$n.select or catMiddle$n.select be
anything other than 1 would actually select between the top “n.select”
items.simIrt so that the parameters did not
need to have column names for the function to correctly work.termGLR, so that the stopping rule would
use the “range” sub-argument of catMiddle rather than the
depricated “int” sub-argument to calculate the likelihoods.termCI, so that the stopping rule would
only consider the last value of SEM when forming a confidence
interval.print.summary.catIrt, so that the
function would check the “n.start” argument of catStart
(rather than the “n.it” argument) to determine how many starting items
that the CAT administered.catMiddle, so that the CAT would
choose the starting scoring method if the MLE wasn’t achieved (and
catMiddle$select = "MLE"), and wouldn’t error if the
starting scoring method was “step”.catIrt function was not
adequately determining if the first vector of item parameters was the
item number. Now, the item number can ONLY be attached if the parameters
are outputted from a catIrt function.WFI (Weighted Fisher Information) function (not
exported) and added two item selection criteria (Posterior WFI and
Likelihood WFI) which both use the WFI function.IKL (Integrated KL Divergence) function (not
exported) and added two item selection criteria (Fixed Integral KL and
Variable Integral KL) which both use the IKL function.itChoose and exported the
function so that anybody can use itChoose in his/her own
CAT algorithm.simIrt to return params with the item numbers
cbind-ed onto the front of them, which is required for the
itChoose function.catTerm$term no longer exists and
is replaced with “precision” and “info”.catMiddle$int to catMiddle$range
to reduce confusion.plot.catIrt so
that catIrt and plot.catIrt have consistent
names for confidence intervals.catStart$init.thet to
catStar$init.theta to reduce confusion.[.mod and [<-.mod functions
outside of the catIrt function, where mod is any of the IRT
models.itChoose function.catIrt input function was rewritten a
bit.catSim, modules (startCat,
middleCat, termCat) were created so that the
package can be easily updated in the future.catIrt function was
added, in the hope of eventually writting a Sympson-Hetter
function.summary.catIrt and plot.catIrt were
rewritten, and print commands were added.summary.catIrt and print.catIrt now can
display each simulees CAT progression.FI was added to make the code clearer.catIrt, and a tiny bit
of code was rewritten so that cat.thet estimates could not exceed int on
either side.catIrt so that the
update command would work.eapSE command was added, and now
catIrt gives the posterior standard deviation if score =
“EAP”.
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