lav_model {lavaan}

lavaan model functions

Description

Utility functions related to internal model representation (lavmodel)

Usage

# set/get free parameters
lav_model_set_parameters(lavmodel, x = NULL)
lav_model_get_parameters(lavmodel, GLIST = NULL, type = "free",
                         extra = TRUE)

# compute model-implied statistics
lav_model_implied(lavmodel, GLIST = NULL, delta = TRUE)

# compute standard errors
lav_model_vcov_se(lavmodel, lavpartable, VCOV = NULL, BOOT = NULL)

Arguments

lavmodel

An internal representation of a lavaan model.

x

Numeric. A vector containing the values of all the free model parameters.

GLIST

List. A list of model matrices, similar to the output of lavInspect(object, "est").

type

Character string. If "free", only return the free model parameters. If "user", return all the parameters (free and fixed) as they appear in the user-specified parameter table.

extra

Logical. If TRUE, also include values for rows in the parameter table where the operator is one of ":=", "==", "<" or ">".

delta

Logical. If TRUE, and a Delta matrix is present in GLIST, use the (diagonal) values of the Delta matrix to rescale the covariance matrix. This is usually needed in the categorical setting to convert covariances to correlations.

lavpartable

A parameter table.

VCOV

Numeric matrix containing an estimate of the variance covariance matrix of the free model parameters.

BOOT

Numeric matrix containing the bootstrap based parameter estimates (in the columns) for each bootstrap sample (in the rows).

Examples

HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

fit <- cfa(HS.model, data=HolzingerSwineford1939)
lavmodel <- fit@Model

est <- lav_model_get_parameters(lavmodel)
est