simsem: popMisfitMACS – R documentation

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popMisfitMACS

Find population misfit by sufficient statistics

Description

Find the value quantifying the amount of population misfit: F_0, RMSEA, and SRMR. See the definition of each index at summaryMisspec.

Usage

popMisfitMACS(paramM, paramCM, misspecM, misspecCM, dfParam=NULL, fit.measures="all")

Arguments

`paramM`	The model-implied mean from the real parameters
`paramCM`	The model-implied covariance matrix from the real parameters
`misspecM`	The model-implied mean from the real and misspecified parameters
`misspecCM`	The model-implied covariance matrix from the real and misspecified parameters
`dfParam`	The degree of freedom of the real model
`fit.measures`	The names of indices used to calculate population misfit. There are three types of misfit: 1) discrepancy function (`"f0"`; see `popDiscrepancy`), 2) root mean squared error of approximation (`"rmsea"`; Equation 12 in Browne & Cudeck, 1992), and 3) standardized root mean squared residual (`"srmr"`)

Value

The vector of the misfit indices

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

References

Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230-258.

Examples

m1 <- rep(0, 3)
m2 <- c(0.1, -0.1, 0.05)
S1 <- matrix(c(1, 0.6, 0.5, 0.6, 1, 0.4, 0.5, 0.4, 1), 3, 3)
S2 <- matrix(c(1, 0.55, 0.55, 0.55, 1, 0.55, 0.55, 0.55, 1), 3, 3)
popMisfitMACS(m1, S1, m2, S2)

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