View source: R/information-matrices.R
varcomp_vcov | R Documentation |
Estimate the sampling variance-covariance of variance component parameters from a fitted linear mixed effects model (lmeStruct object) or generalized least squares model (glsStruct object) using the inverse Fisher information.
varcomp_vcov(mod, type = "expected", separate_variances = FALSE)
mod |
Fitted model of class lmeStruct or glsStruct. |
type |
Type of information matrix. One of |
separate_variances |
Logical indicating whether to return the Fisher
information matrix for separate level-1 variance components if using
|
Sampling variance-covariance matrix corresponding to variance
component parameters of mod
.
library(nlme)
data(Bryant2016)
Bryant2016_RML <- lme(fixed = outcome ~ treatment,
random = ~ 1 | school/case,
correlation = corAR1(0, ~ session | school/case),
data = Bryant2016)
varcomp_vcov(Bryant2016_RML, type = "expected")
Bryant2016_RML2 <- lme(fixed = outcome ~ treatment,
random = ~ 1 | school/case,
correlation = corAR1(0, ~ session | school/case),
weights = varIdent(form = ~ 1 | treatment),
data = Bryant2016)
varcomp_vcov(Bryant2016_RML2, separate_variances = TRUE)
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