get_covbeta: Compute covariance of fixed effect parameters as a function...
In pbkrtest: Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models
get_covbeta R Documentation
Compute covariance of fixed effect parameters as a function of variance parameters of a linear mixed model
Description
At the optimum the covariance is available as vcov(lmer-model). This function
computes cov(beta) at non (RE)ML estimates of varpar.
Usage
get_covbeta(varpar, devfun)
Arguments
varpar
variance parameters; varpar = c(theta, sigma).
devfun
deviance function as a function of theta only.
Value
The covariances matrix of the fixed effects at supplied varpar values.
Author(s)
Rune Haubo B. Christensen. Adapted to pbkrtest by Søren Højsgaard.
pbkrtest documentation built on June 27, 2024, 1:07 a.m.
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| get_covbeta | R Documentation |
Compute covariance of fixed effect parameters as a function of variance parameters of a linear mixed model
Description
At the optimum the covariance is available as vcov(lmer-model). This function
computes cov(beta) at non (RE)ML estimates of varpar.
Usage
get_covbeta(varpar, devfun)
Arguments
varpar |
variance parameters; |
devfun |
deviance function as a function of theta only. |
Value
The covariances matrix of the fixed effects at supplied varpar values.
Author(s)
Rune Haubo B. Christensen. Adapted to pbkrtest by Søren Højsgaard.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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