summary.rpql {rpql}

Summary of GLMM fitted using regularized PQL.

Description

A summary of the results from applying rpql.

Usage

## S3 method for class 'rpql'
summary(object, ...)

## S3 method for class 'summary.rpql'
print(x,...)

Arguments

object

An object of class "rpql".

x

An object of class "rpql".

...

Not used.

Value

A list (some of which is printed) containing the following elements:

Call

The matched call.

fixed

Estimated fixed effects coefficients.

ranef

A list with each element being a matrix of estimated random effects coefficients.

ran.cov

A list with each element being a estimated random effects covariance matrix.

logLik

PQL log-likelihood value at convergence.

family

The family argument, i.e. response type.

pen.type, lambda

Penalties used for selection and the corresponding tuning parameter values.

ics

A vector containing the number of estimated, non-zero parameters, and three information criterion. Please see the help file for rpql for details on these criteria.

id

The id argument, i.e. list of IDs.

nonzero.fixef

A vector indexing which of the estimated fixed effect coefficients are non-zero.

nonzero.ranef

A list with each element being a vector indexing which of the estimated random effects are non-zero, i.e. which of the diagonal elements in the corresponding element of ran.cov are non-zero.

Author(s)

Francis K.C. Hui <[e-mail]>, with contributions from Samuel Mueller <[e-mail]> and A.H. Welsh <[e-mail]>

Maintainer: Francis Hui <[e-mail]>

See Also

rpql for fitting and performing model selection in GLMMs using regularized PQL.

Examples

## Please see other examples in help file for the \code{rpql} function.