get_covbeta: Compute covariance of fixed effect parameters as a function...
In hojsgaard/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.
hojsgaard/pbkrtest documentation built on Feb. 4, 2023, 7:32 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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