analyze: Data analysis using the model specification

In simsem: SIMulated Structural Equation Modeling

Description

Data analysis using the model specification (linkS4class{SimSem}) or the mx model object (MxModel). Data will be multiply imputed if the miss argument is specified.

Usage

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

Arguments

model	The simsem model template (linkS4class{SimSem}) or the mx model object (MxModel)
data	The target dataset
package	The package used in data analysis. Currently, only lavaan package can be used.
miss	The missing object with the specification of auxiliary variable or the specification for the multiple imputation.
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

Value

The lavaan object containing the output

Author(s)

Patrick Miller (University of Notre Dame; [e-mail]), Sunthud Pornprasertmanit ([e-mail])

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)

simsem documentation built on March 29, 2021, 1:07 a.m.