View source: R/DImulti_classMethods.R
summary.DImulti | R Documentation |
Print a summary of the fitted DI models supplied
## S3 method for class 'DImulti'
summary(object, verbose = FALSE, ...)
object |
an object inheriting from class DImulti, representing a generalized least squared fitted linear model using the Diversity-Interactions framework |
verbose |
an optional logical value used to control the amount of output when the object is printed. Defaults to FALSE. |
... |
some methods for this generic function require additional arguments. None are used in this method. |
an object inheriting from class summary.gls with all components included in object (see glsObject for a full description of the components) plus the following components:
corBeta, approximate correlation matrix for the coefficients estimates
tTable, a matrix with columns Value, Std. Error, t-value, and p-value representing respectively the coefficients estimates, their approximate standard errors, the ratios between the estimates and their standard errors, and the associated p-value under a t approximation. Rows correspond to the different coefficients.
residuals, if more than five observations are used in the gls fit, a vector with the minimum, first quartile, median, third quartile, and maximum of the residuals distribution; else the residuals.
AIC, the Akaike Information Criterion corresponding to object.
BIC, the Bayesian Information Criterion corresponding to object.
theta, the values of the non-linear parameter theta used in the model
summary.gls
which this function wraps.
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