Internal Function for Multinomial Regression in Mplus
Internal Function for Multinomial Regression in Mplus
.mplusMultinomial( dv, iv, data, idvar = "", integration = 1000, processors = 2, OR = TRUE, pairwise = TRUE, ... )
dv |
A character string with the variable name for the dependent (outcome) variable. |
iv |
A character vector with the variable name(s) for the independent (predictor/explanatory) variable(s). |
data |
A dataset. |
idvar |
Optional. A character string indicating the name of the ID variable. Not currently used but may be used in future. |
integration |
An integer indicating the number of Monte Carlo integration points to use. Defaults to 1000. |
processors |
An integer indicating the number of processors to use. Passed to Mplus. Defaults to 2. |
OR |
A logical value whether odds ratios should be returned.
Defaults to |
pairwise |
A logical value indicating whether all pairwise
tests should be computed. Defaults to |
... |
Additional arguments passed to |
A list of results and Mplus model object.
Joshua F. Wiley <jwiley.psych@gmail.com>
## Not run:
set.seed(1234)
tmpd <- data.frame(
x1 = rnorm(200),
x2 = rnorm(200),
x3 = cut(rnorm(200),
breaks = c(-Inf, -.7, .7, Inf),
labels = c("a", "b", "c")))
tmpd$y <- cut(rnorm(200, sd = 2) + tmpd$x1 + tmpd$x2 + I(tmpd$x3 == "b"),
breaks = c(-Inf, -.5, 1, Inf),
labels = c("L", "M", "H"))
tmpres <- MplusAutomation:::.mplusMultinomial(
dv = "y",
iv = c("x1", "x2"),
data = tmpd,
pairwise = TRUE)
tmpres2 <- MplusAutomation:::.mplusMultinomial(
dv = "y",
iv = c("x1", "x2"),
data = tmpd,
pairwise = FALSE)
tmpres3 <- MplusAutomation:::.mplusMultinomial(
dv = "y",
iv = c("x1@0", "x2@0"),
data = tmpd,
pairwise = FALSE)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.