It simply calls print.glmmboot
● Data Source:
CranContrib
● Keywords: print
● Alias: summary.glmmboot
●
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ghq
(Package: glmmML) :
Gauss-Hermite
Calculates the zeros and weights needed for Gauss-Hermite quadrature.
● Data Source:
CranContrib
● Keywords: math
● Alias: ghq
●
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glmmML
(Package: glmmML) :
Generalized Linear Models with random intercept
Fits GLMs with random intercept by Maximum Likelihood and numerical integration via Gauss-Hermite quadrature.
● Data Source:
CranContrib
● Keywords: regression
● Alias: glmmML
●
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summary.glmmML
(Package: glmmML) :
Summary of a glmmML object
It simply calls print.glmmML
● Data Source:
CranContrib
● Keywords: print
● Alias: summary.glmmML
●
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glmmboot
(Package: glmmML) :
Generalized Linear Models with fixed effects grouping
Fits grouped GLMs with fixed group effects. The significance of the grouping is tested by simulation, with a bootstrap approach.
● Data Source:
CranContrib
● Keywords: nonlinear, regression
● Alias: glmmboot
●
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glmmbootFit
(Package: glmmML) :
Generalized Linear Models with fixed effects grouping
'glmmbootFit' is the workhorse in the function glmmboot. It is suitable to call instead of 'glmmboot', e.g. in simulations.
● Data Source:
CranContrib
● Keywords: nonlinear, regression
● Alias: glmmbootFit
●
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glmmML.fit
(Package: glmmML) :
Generalized Linear Model with random intercept
This function is called by glmmML, but it can also be called directly by the user.
● Data Source:
CranContrib
● Keywords: regression
● Alias: glmmML.fit
●
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print.glmmML
(Package: glmmML) :
Prints a 'glmmML' object.
A glmmML object is the output of glmmML.
● Data Source:
CranContrib
● Keywords: print
● Alias: print.glmmML
●
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A glmmboot object is the output of glmmboot.
● Data Source:
CranContrib
● Keywords: print
● Alias: print.glmmboot
●
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providing 
.