simsem: analyze – R documentation

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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, ...)

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; pmille13@nd.edu), Sunthud Pornprasertmanit (psunthud@gmail.com)

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

SIMulated Structural Equation Modeling

v0.5-16

GPL (>= 2)

Authors

Sunthud Pornprasertmanit [aut], Patrick Miller [aut], Alexander Schoemann [aut] (<https://orcid.org/0000-0002-8479-8798>), Terrence D. Jorgensen [aut, cre] (<https://orcid.org/0000-0001-5111-6773>), Corbin Quick [ctb]

Initial release

2021-03-28