Returns a summary of the generalized linear models stored in a fit.models
object with virtual class glmfm.
USAGE:
summary.glmfm(object, correlation=T, ...)
REQUIRED ARGUMENTS:
object
a fit.models object with virtual class glmfm that contains the fitted
models.
OPTIONAL ARGUMENTS:
correlation
if TRUE, the correlation matrix for the coefficients is included in the
summary.
VALUE:
a summary.lmfm object with the following components:
mod.names
the names of the models in object.
calls
a list containing the call of each model in object.
restats
a 2-dimensional array with one row (containing the minimum, the maximum,
and the quartiles of the residuals) for each model in object.
coefs
a 3-dimensional array. The third index corresponds to the models in
object. Each 2-dimensional slice is a matrix with one row for each term in
the model and columns for the coefficient estimate, its standard error, the
t statistic, and the p-value.
df
a vector containing the residual degrees of freedom for each model in
object.
devs
a vector containing the residual deviance for each model in object.
correlations
a 3-dimensional array. For each level of the 3rd index (one for each model
in object), the 2-dimensional slice is the estimated correlation matrix of
the coefficients. This will not be present if correlation is FALSE.