# Copyright (C) 2005, 2006, 2010 Heather Turner
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 or 3 of the License
# (at your option).
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
updateLinear <- function(which, theta, y, mu, eta, offset, weights, family,
modelTools, X, eliminate) {
dmu <- family$mu.eta(eta)
vmu <- family$variance(mu)
w <- weights * dmu * dmu / vmu
theta[which] <- 0
offsetVarPredictors <- modelTools$varPredictors(theta)
offset <- offset + modelTools$predictor(offsetVarPredictors)
z <- eta - offset + (y - mu)/dmu
if (is.null(eliminate))
naToZero(lm.wfit(X[,which, drop = FALSE], z, w)$coef)
else
suppressWarnings(glm.fit.e(X[,which, drop = FALSE], z,
weights = w, intercept = FALSE,
eliminate = eliminate, coefonly = TRUE))
}
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