irtree_fit_mplus: Fit an IR-Tree Model using Mplus

In ItemResponseTrees: IR-Tree Modeling in 'mirt', 'Mplus', or 'TAM'

Description

This function takes a data frame and a model string and runs the model in Mplus.

Usage

irtree_fit_mplus(
  object = NULL,
  data = NULL,
  link = c("logit", "probit"),
  verbose = interactive(),
  control = control_mplus(),
  improper_okay = FALSE
)

Arguments

object	Object of class irtree_model. See irtree_model for more information.
data	Data frame containing containing one row per respondent and one column per variable. The variable names must correspond to those used in object.
link	String, passed to argument 'LINK' in Mplus. Specifies the link function.
verbose	Logical indicating whether output should be printed to the console.
control	List. The allowed elements of this list depend on the engine. Use control_mirt(), control_mplus(), or control_tam() for convenience. Note that the fit() function does not use ..., but that you can use the control_*() functions to pass additional arguments.
improper_okay	Logical indicating whether the model should also be fit if it is not a proper IR-tree model. Set this only to TRUE if you really know what you are doing.

Examples

run <- MplusAutomation::mplusAvailable() == 0

m1 <- "
IRT:
attitude BY Comfort, Work, Future, Benefit;

Class:
GRM
"
model1 <- irtree_model(m1)
data(Science, package = "mirt")

fit1 <- fit(model1, Science, engine = "mplus",
            control = control_mplus(run = run))

ItemResponseTrees documentation built on July 2, 2020, 2:25 a.m.