attribrisk.fit: This function is used internally by attribrisk functions.
In bethatkinson/attribrisk: Population Attributable Risk

This function is used internally by attribrisk functions.

1 2	attribrisk.fit(x, y, w, offset, match, xbase, fit = FALSE)

`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