summary.glmm: Summarizing GLMM Fits

In glmm: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

Summarizing GLMM Fits

Description

"summary" method for class glmm objects.

Usage

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

## S3 method for class 'summary.glmm'
print(x, digits = max(3, getOption("digits") - 3),
      signif.stars = getOption("show.signif.stars"), ...)

Arguments

object	an object of class glmm, usually, resulting from a call to glmm.
x	an object of class summary.glmm, usually, a result of a call to summary.glmm.
digits	the number of significant digits to use when printing.
signif.stars	logical. If TRUE, “significance stars” are printed for each coefficient.
...	further arguments passed to or from other methods.

Value

The function summary.glmm computes and returns a list of summary statistics of the fitted generalized linear mixed model given in object, using the components (list elements) "call" and "terms" from its argument, plus

coefficients	a matrix for the fixed effects. The matrix has columns for the estimated coefficient, its standard error, t-statistic and corresponding (two-sided) p-value.
nucoefmat	a matrix with columns for the variance components. The matrix has columns for the estimated variance component, its standard error, t-statistic and corresponding (one-sided) p-value.
x	the design matrix for the fixed effects.
z	the design matrix for the random effects.
y	the response vector.
fixedcall	the call for the fixed effects.
randcall	the call for the random effects.
family.mcml	the family used to fit the model.
call	the call to glmm.
link	the canonical link function.

Author(s)

Christina Knudson

See Also

The model fitting function glmm, the generic summary, and the function coefthat extracts the fixed effect coefficients.

glmm documentation built on Oct. 10, 2022, 1:06 a.m.