Arguments
x
is a design matrix of dimension "n * p".
y
is a vector of observations of length "n".
w
optional weights for the fitting criterion.
offset
this can be used to specify an component to
be included in the linear predictor during fitting. This
should be NULL or a numeric vector of length equal to the
number of observations.
match
a vector of length n that indicates which observations
are a part of each match; NULL for an unmatched analysis.
The values should be integers from 1 to the number of matched sets.
xbase
the x matrix, minus the values used as a baseline for exposure
fit
if TRUE then return the underlying glm or coxph fit object as
well as the attributable risk estimate