simsem (version 0.5-17)

analyze: Data analysis using the model specification

Description

Data analysis using the model specification (SimSem) or the MxModel object.

Usage

analyze(model, data, package="lavaan", miss=NULL, aux=NULL, group = NULL,
	mxMixture = FALSE, ...)

Value

The lavaan-class object containing the output

Arguments

model

The simsem model template (SimSem) or the MxModel object.

data

The target dataset

package

The package used in data analysis. Currently, only lavaan package can be used.

miss

The SimMissing object with the specification of auxiliary variable(s) used for analysis with FIML.

aux

List of auxiliary variables

group

A group variable. This argument is applicable only when the model argument is a MxModel object.

mxMixture

A logical whether to the analysis model is a mixture model. This argument is applicable when MxModel is used in the model argument only.

...

Additional arguments in the lavaan function. See also lavOptions

Author

Patrick Miller (University of Notre Dame; ), Sunthud Pornprasertmanit ()

See Also

Note that users can use functions provided by lavaan package (lavaan, cfa, sem, or growth) if they wish to analyze data by lavaan directly.

Examples

loading <- matrix(0, 6, 2)
loading[1:3, 1] <- NA
loading[4:6, 2] <- NA
LY <- bind(loading, 0.7)

latent.cor <- matrix(NA, 2, 2)
diag(latent.cor) <- 1
RPS <- binds(latent.cor, 0.5)

RTE <- binds(diag(6))

VY <- bind(rep(NA,6),2)

CFA.Model <- model(LY = LY, RPS = RPS, RTE = RTE, modelType = "CFA")

dat <- generate(CFA.Model,200)
out <- analyze(CFA.Model,dat)