testListMST: Testing the format of the MST input lists
In mstR: Procedures to Generate Patterns under Multistage Testing

Description Usage Arguments Details Value Author(s) References See Also Examples

This command tests whether format of the input lists for the random generation of multistage tests is convenient, and returns a warning message otherwise.

1 2	testListMST(list, type = "start")

`list`	a list of arguments to be tested. See Details.
`type`	character: the type of list for checking. Possible values are `"start"` (default), `"test"` and `"final"`. See Details.

The testListMST function checks whether the list provided in the list argument is accurate for the selected type. It mainly serves as an initial check for the randomMST function.

The three types of lists are: "start" with the parameters for selecting the first module; "test" with the options of the multistage test (i.e. method for next module selection, provisional ability estimator and related information); and "final" with the options for final ability estimation. See the help file of randomMST for further details about the different lists, their allowed arguments and their contents.

The function returns an "ok" message if the arguments of list match the requirement of the corresponding type. Otherwise, a message is returned with information about list - type mismatch. This will be the case if:

list is not a list, or has no argument names,
list has too many arguments for the type specified,
at least one of the argument names is incorrect,
the content of at least one argument is not adequate (e.g. character instead of numeric).

Each mismatch yields a different output message to help in debugging the problem.

A list with two arguments:

`test`	a logical value indicating whether the format of the list is accurate (`TRUE`) or not (`FALSE`).
`message`	either a message to indicate the type of misspecification, or `"ok"` if the format is accurate.

David Magis
Department of Psychology, University of Liege, Belgium
david.magis@uliege.be

Magis, D. and Barrada, J. R. (2017). Computerized Adaptive Testing with R: Recent Updates of the Package catR. Journal of Statistical Software, Code Snippets, 76(1), 1-19. doi: 10.18637/jss.v076.c01

randomMST

 # Creation and test of a 'start' list
 start <- list(theta = 0)
 testListMST(start, type = "start")

 # Creation and test of a 'test' list
 test <- list(method = "WL", moduleSelect = "MFI", constantPatt = "fixed4")
 testListMST(test, type = "test")

 # Creation and test of a 'final' list (with mistake)
 final <- list(method = "MAP")
 testListMST(final, type = "final")

# Creation of cut-off scores for ability levels: cut score 0 between modules 3 and 4
 # and cut scores -1 and 1 between modules 5, 6 and 7
 cut <- matrix(NA, 7, 2)
 cut[3,] <- c(-Inf, 0)
 cut[4,] <- c(0, Inf)
 cut[5,] <- c(-Inf, -1)
 cut[6,] <- c(-1, 1)
 cut[7,] <- c(1, Inf)
 test <- list(method = "WL", constantPatt = "fixed4", cutoff = cut)
 testListMST(test, "test")