Summarize a glmList Object

DESCRIPTION:

The summary.glm method is applied to each glm component of object to produce summary information on the individual fits, which is organized into a list of summary statistics. The returned object is suitable for printing with the print.summary.glmList method.

USAGE:

summary(object, pool)

REQUIRED ARGUMENTS:

object
an object inheriting from class glmList, representing a list of glm fitted objects.
pool
an optional logical value indicating whether a pooled estimate of the residual deviance should be used. Default is attr(object, "pool").

VALUE:

a list with summary statistics obtained by applying summary.glm to the elements of object, inheriting from class summary.glmList. The components of value are:
call
a list containing an image of the glmList call that produced object.
coefficients
a three dimensional array with summary information on the glm coefficients. The first dimension corresponds to the names of the object components, the second dimension is given by "Value", "Std. Error" , "t value" , and "Pr(>|t|)", corresponding, respectively, to the coefficient estimates and their associated standard errors, t-values, and p-values. The third dimension is given by the coefficients names.
deviance
if pool=TRUE, the sum of the residual deviances from all glm fits; else, an array with the residual deviances of the individual glm fits.
df.residual
the total number of degrees of freedom for residuals, corresponding to the sum of residuals df of all glm components.
dispersion
if pool=TRUE, the pooled estimate of dispersion parameter; else, an array with the estimated dispersions of the individual glm fits.
null.deviance
if pool=TRUE, the sum of the null deviances from all glm fits; else, an array with the null deviances of the individual glm fits.
pool
the value of the pool argument to the function.
terms
the terms object used in fitting the individual glm components.

SEE ALSO:

, .

EXAMPLES:

fm1 <- glmList(resp ~ trt | clinic, Clinic, family=binomial)
summary(fm1)