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Return confidence intervals for an mplus.model object

Source: R/methods.R
confint.mplus.model.Rd

This is a method for returning the confidence of an mplus.model object. It works directly on an object stored from readModels such as: object <- readModels("/path/to/model/model.out").

Method that calls confint.mplus.model. See further documentation there.

Usage

# S3 method for class 'mplus.model'
confint(
  object,
  parm,
  level = 0.95,
  type = c("un", "std", "stdy", "stdyx"),
  params = c("regression", "loading", "undirected", "expectation", "variability", "new"),
  ...
)

# S3 method for class 'mplusObject'
confint(object, ...)

Arguments

object

An object of class mplusObject

parm

Included as all confint() methods must include it. Not used currently for Mplus.

level

A numeric vector indicating the level of confidence interval to extract. Options are .95, .90, or .99 as those are all Mplus provides.

type

A character vector indicating the type of confidence intervals to return. One of “un”, “std”, “stdy”, or “stdyx”.

params

A character vector indicating what type of parameters to extract. Any combination of “regression”, “loading”, “undirected”, “expectation”, “variability”, and “new”. A single one can be passed or multiple. By default, all are used and all parameters are returned.

...

Additional arguments to pass on (not currently used)

Value

A data frame of class ‘mplus.model.cis’, or in the case of multiple group models, a list of class ‘mplus.model.cis’, where each element of the list is a data frame of class ‘mplus.model.cis’.

See also

readModels

Other Mplus-Formatting: coef.mplus.model(), extract(), print.MplusRstructure(), summary.mplusObject()

Author

Joshua F. Wiley jwiley.psych@gmail.com

Examples

if (FALSE) { # \dontrun{
# simple example of a model using builtin data
# demonstrates use
test <- mplusObject(
  TITLE = "test the MplusAutomation Package;",
  MODEL = "
    mpg ON wt hp;
    wt WITH hp;",
  OUTPUT = "STANDARDIZED; CINTERVAL;",
  usevariables = c("mpg", "wt", "hp"),
  rdata = mtcars)

res <- mplusModeler(test, "mtcars.dat", modelout = "model1.inp", run = 1L)

# example of the confint method on an mplus.model object
# note that res$results holds the results of readModels()
confint(res$results)
confint(res$results, type = "std")
confint(res$results, type = "stdy")
confint(res$results, type = "stdyx", level = .99)

# there is also a method for mplusObject class
confint(res)
screenreg(res, cis = TRUE, single.row = TRUE)

# remove files
unlink("mtcars.dat")
unlink("model1.inp")
unlink("model1.out")
unlink("Mplus Run Models.log")
} # }