These functions are all methods for class reaster or
summary.reaster objects.
# S3 method for reaster
summary(object, standard.deviation = TRUE, ...)# S3 method for summary.reaster
print(x, digits = max(3, getOption("digits") - 3),
signif.stars = getOption("show.signif.stars"), ...)
summary.reaster returns an object of class "summary.reaster".
an object of class "reaster", usually, a result of a
call to reaster.
if TRUE, treat the parameters described
in the “variance components” section of the printout are square
roots of variance components (that is, standard deviations) rather
than the variance components themselves. Warning: if FALSE
so actual variance components are described, (asymptotic, approximate)
standard errors are zero when they the variance components are zero
(see details section below).
an object of class "summary.reaster", usually, a result of a
call to summary.reaster.
the number of significant digits to use when printing.
logical. If TRUE, “significance stars”
are printed for each coefficient.
further arguments passed to or from other methods.
The reaster function only does approximate maximum likelihood.
Even if it did actual maximum likelihood, standard errors would be only
approximate. Standard errors for variance components are derived via
the delta method from standard errors for square roots of variance
components (standard deviations). Hence P-values for variance components
and square roots of variance components do not agree exactly (although
they do asymptotically).
reaster, summary.