analyze: Data analysis using the model specification

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, ...)

Value

The lavaan object containing the output

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

Author

Patrick Miller (University of Notre Dame; pmille13@nd.edu), Sunthud Pornprasertmanit (psunthud@gmail.com)

Examples

Run this code

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)

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