simsem: findFactorMean – R documentation

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findFactorMean

Find factor total means from regression coefficient matrix and factor intercept

Description

Find factor total means from regression coefficient matrix and factor intercepts for latent variable models. In the path analysis model, this function will find indicator total means from regression coefficient and indicator intercept.

Usage

findFactorMean(beta, alpha = NULL, gamma = NULL, covmean = NULL)

Arguments

`beta`	Regression coefficient matrix among factors
`alpha`	Factor (indicator) intercept. The default is that all factor intercepts are 0.
`gamma`	Regression coefficient matrix from covariates (column) to factors (rows)
`covmean`	A vector of covariate means.

Value

A vector of factor (indicator) total means

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

Examples

path <- matrix(0, 9, 9)
path[4, 1] <- path[7, 4] <- 0.6
path[5, 2] <- path[8, 5] <- 0.6
path[6, 3] <- path[9, 6] <- 0.6
path[5, 1] <- path[8, 4] <- 0.4
path[6, 2] <- path[9, 5] <- 0.4
intcept <- c(5, 2, 3, 0, 0, 0, 0, 0, 0)
findFactorMean(path, intcept)

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