## 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.