progress logical added to mirtCAT() to print the progress of Monte Carlo simulations with the pbapply package
Shadow testing and optimal test assembly designs supported by adding constr_fun input to mirtCAT() and objective input to findNextItem(). See the findNextItem() documentation for details and examples
computeCriteria() function added to return all the criteria values (e.g., maximum information) associated with each respective item
population-level Theta terms tracked internally for Monte Carlo simulations because generate_pattern() now stores the respective population values as a silent attribute. Will now be displayed in summary/print/plot outputs, where applicable
allow the internal design object to be modified through the customNextItem() function
added an extract.mirtCAT() function to better document and extract the components of the person, design, and test objects in customNextItem(). Allows for safer and easier customization of item selection maps
new test_properties and person_properties inputs to design element to allow for prior information about the test/persons (e.g., selecting particular items based on prior demographic information). Intended for use with a customNextItem() function definition
added StemExpression to df input to support arbitrary R expressions for stems to be rendered with standard R code. Allows for inputs such as audio, video, etc, as well through the use of a suitable tags$FUN(...)
new password input to shinyGUI list to allow login and password gates. Useful when hosting CAT on a server with potentially sensitive items
default shiny stem wrapper function for df when it is a data.frame is now exposed via the stem_default_format input to shinyGUI
MathJax is now explicitly supported in the item stems and response options. As before, users can provide a manual list explicilty defining the shiny functions; jowever, if a data.frame object is used then the stems/responses will be automatically wrapped within a suitable shiny::withMathJax() function to render the output
mental preparation screen now disabled for non-scored tests when the mo object is ommited (i.e., equivalent to setting shinyGUI = list(begin_message = ""))
'select' Type input to df now uses a blank option as the default to avoid clicking through accidently. Also works better with the forced_choice default
fix MLWI/MPWI selection criteria
findNextItem() is allowed to return all items given the selection criteria
include constraints option for excluded items (useful for re-testing situations where item selection is from the same bank of items but previously answered items should not appear)
new 'none' presentation Type to allow empty material with no responses (mainly for presenting reading passages or other testlet-based items). Useful when used in conjunction with the constraints input from the design list so that these items have predictible dependent pairings (or can be used with the customNextItem form as well for explicit dependencies)
shinyGUI input gained a ui element to allow users to completely customize the graphical UI with shiny code
added customNextItem function to allow a completely customized method for declaring the item selection scheme
support checkbox input type for checkboxGroupInput() function. Supplying one or more answers will score the items in a partial credit style
include missing input options in df input for shiny (e.g., width, placeholder, inline). Removed 'radio_inline' input because this can now be acomplishied by passing Type = 'radio' and inline = TRUE
added getPerson() function to assign a person object following the use of createShinyGUI
the raw_responses vector returned for each participant is now a character vector instead of an integer
added slider Type input for sliderInput rating scale questions
resume_file removed, now if an associated temp_file is detected it will be used to resume the GUI session
new begin_message input to shinyGUI to change message prior to starting the CAT
changed lastpage element in shinyGUI input from a list to a function to allow messages containing information pertaining to the session
fix bug when using SH exposure control when the pool runs out of items
add delta_thetas argument to design list to stop CAT if change between latent trait updates is less than this distance criteria
include more functions to allow easier web hosting in locations such as shinyapps.io. Namely, mirtCAT_preamble() and createShinyGUI()
graphical images (png, gif, and jpeg) no logner supported. Stems preferably should in HTML for best results and control
Stem paths can now point to and render HTML and markdown files in the GUI
df input can now be a list for including more fine tuned shiny inputs
check for the existance of graphical item stems, and allow relative or absolute paths
fix stem location bug, and add better aspect ratio
the summary(mod, sort=FALSE) argument returned a NULL object instead of the unsorted response. This has been patched and is now tested for
when no df is supplied, check that the responses are in a plausible range (reported by Gerard Flens)
forced_choice argument for shinyGUI input to state whether respones for each item are required (for CATs, this should always be TRUE)
respones in GUI now are blank by default
in preCAT list input change nitems to min_items and max_items for better control. Also include a response_variance logical to terminate the preCAT stage when variability in the the response options occurs (so that ML estimation becomes plausible)
include Sympson-Hetter method of item exposure control
major re-write of shiny inputs. Now the questions, answers, and options are all supplied through a data.frame object for better clarity, and all shiny inputs regarding the questions, image locations, etc, are specified in this object
mirt_object input renamed to mo for short
the local_pattern input now accepts a matrix of response patterns for running simulation designs. Returns a list of person objects instead of a single object
generate_pattern() now supports multiple Theta inputs specifically for simulation designs
start_item input now accepts character value inputs (in addition to explicit numeric inputs) corresponding to the criteria argument. This allows the first item to be selected using the (adaptive) selection criteria
added generate.mirt_object() function to build the required mirt_object input given population parameters
new cl argument in mirtCAT() for passing a parallel cluster object defined from the parallel package. Used to run simulation designs with parallel architecture for better speed
by default, the demographics page is no longer generated in the GUI
item_answers can now be a list input, indicating that more than one correct answer is possible for a given item
allow the first page and demographics page to be skipped by passing empty list arguments
added 'fixed' method to keep latent trait estimates at fixed values (useful for preCAT)
Fisher information matrix added for remaining multidimensional models supported by mirt, including custom item types
add 'Arule' and 'APrule' for minimum trace criteria of asymtotic covariance matrix
temporary files can now be saved while the GUI is running, and restored at a later time
more estimation options can be passed to fscores() via the ... argument
sensitive objects are now removed from the package namespace when the mirtCAT() finishes unsuccessfully
categories are always returned with based 1 for first response in the GUI
add content balancing option
various bug fixes, and update documentation
new findNextItem() input for users to locate the next item to administer (likely for custom CAT interfaces that do not use the Shiny package). Can be updated with the updateDesign() function
moved 'Next' button in the web interface to the left panel box so that it will always remain in the same location
support CSS customization
switch multidimensional selection criteria to use analytical expressions rather than numerical. Several multivariate Fisher information matrix computation currently not supported analytically, but will be steadily added.
add classification capabilities to design list input