| factor_loadings.galamm {galamm} | R Documentation |
Extract factor loadings from galamm object
Description
Extract factor loadings from galamm object
Usage
## S3 method for class 'galamm'
factor_loadings(object)
Arguments
object |
Object of class |
Details
This function has been named factor_loadings rather than just
loadings to avoid conflict with stats::loadings.
Value
A matrix containing the estimated factor loadings with corresponding standard deviations.
Author(s)
The example for this function comes from PLmixed, with authors
Nicholas Rockwood and Minjeong Jeon
(Rockwood and Jeon 2019).
See Also
fixef.galamm() for fixed regression coefficients,
confint.galamm() for confidence intervals, and coef.galamm() for
coefficients more generally.
Other details of model fit:
VarCorr(),
coef.galamm(),
confint.galamm(),
deviance.galamm(),
family.galamm(),
fitted.galamm(),
fixef(),
formula.galamm(),
llikAIC(),
logLik.galamm(),
nobs.galamm(),
predict.galamm(),
print.VarCorr.galamm(),
ranef.galamm(),
residuals.galamm(),
sigma.galamm(),
vcov.galamm()
Examples
# Logistic mixed model with factor loadings, example from PLmixed
data("IRTsim", package = "PLmixed")
# Reduce data size for the example to run faster
IRTsub <- IRTsim[IRTsim$item < 4, ]
IRTsub <- IRTsub[sample(nrow(IRTsub), 300), ]
IRTsub$item <- factor(IRTsub$item)
# Fix loading for first item to 1, and estimate the two others freely
loading_matrix <- matrix(c(1, NA, NA), ncol = 1)
# Estimate model
mod <- galamm(y ~ item + (0 + ability | sid) + (0 + ability | school),
data = IRTsub, family = binomial, load.var = "item",
factor = "ability", lambda = loading_matrix
)
# Show estimated factor loadings, with standard errors
factor_loadings(mod)