summary.gllvm: Summarizing gllvm model fits

Description Usage Arguments Details Author(s) Examples

View source: R/summary.gllvm.R

Description

A summary of the fitted 'gllvm' object, including function call, distribution family and model parameters.

Usage

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## S3 method for class 'gllvm'
summary(
  object,
  digits = max(3L, getOption("digits") - 3L),
  signif.stars = getOption("show.signif.stars"),
  dispersion = FALSE,
  spp.intercepts = FALSE,
  row.intercepts = FALSE,
  theta = FALSE,
  ...
)

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

Arguments

object

an object of class 'gllvm'

digits

the number of significant digits to use when printing

signif.stars

If TRUE, significance stars are printed for each coefficient, defaults to TRUE

dispersion

option to return dispersion parameters, defaults to FALSE

spp.intercepts

option to return species intercepts, defaults to FALSE

row.intercepts

option to return row intercepts, defaults to FALSE

theta

option to return species scores in the ordination, defaults to FALSE

...

not used.

x

a summary object

Details

Various options are available to include extra parameter estimates in the summary, which have been excluded by default, for readability.

Author(s)

Jenni Niku <jenni.m.e.niku@jyu.fi>, Bert van der Veen

Examples

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## Not run: 
## Load a dataset from the mvabund package
data(antTraits)
y <- as.matrix(antTraits$abund)
# Fit gllvm model
fit <- gllvm(y = y, family = poisson())
summary(fit)

## End(Not run)

gllvm documentation built on July 29, 2021, 1:06 a.m.