devfun_vp: Compute deviance of a linear mixed model as a function of...
In pbkrtest: Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models
devfun_vp R Documentation
Compute deviance of a linear mixed model as a function of variance parameters
Description
This function is used for extracting the asymptotic variance-covariance matrix
of the variance parameters.
Usage
devfun_vp(varpar, devfun, reml)
Arguments
varpar
variance parameters; varpar = c(theta, sigma).
devfun
deviance function as a function of theta only.
reml
if TRUE the REML deviance is computed;
if FALSE, the ML deviance is computed.
Value
the REML or ML deviance.
Author(s)
Rune Haubo B. Christensen. Adapted to pbkrtest by Søren Højsgaard.
pbkrtest documentation built on Jan. 22, 2023, 1:52 a.m.
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| devfun_vp | R Documentation |
Compute deviance of a linear mixed model as a function of variance parameters
Description
This function is used for extracting the asymptotic variance-covariance matrix of the variance parameters.
Usage
devfun_vp(varpar, devfun, reml)
Arguments
varpar |
variance parameters; |
devfun |
deviance function as a function of theta only. |
reml |
if |
Value
the REML or ML deviance.
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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