linearize <- function (y, weights = NULL, offset = NULL, family = myfamily, mustart=NULL)
{
nobs <- NROW(y)
if (is.null(weights))
weights <- rep.int(1, nobs)
if (is.null(offset))
offset <- rep.int(0, nobs)
variance <- family$variance
linkinv <- family$linkinv
if (!is.function(variance) || !is.function(linkinv))
stop("'family' argument seems not to be a valid family object",
call. = FALSE)
dev.resids <- family$dev.resids
aic <- family$aic
mu.eta <- family$mu.eta
unless.null <- function(x, if.null) if (is.null(x)) if.null else x
valideta <- unless.null(family$valideta, function(eta) TRUE)
validmu <- unless.null(family$validmu, function(mu) TRUE)
if (is.null(mustart)) {
eval(family$initialize)
}
else {
mukeep <- mustart
eval(family$initialize)
mustart <- mukeep
}
eta <-family$linkfun(mustart)
mu <- linkinv(eta)
if (!(validmu(mu) && valideta(eta)))
stop("cannot find valid starting values: please specify some",
call. = FALSE)
dev<- sum(dev.resids(y, mu, weights))
good <- weights > 0
varmu <- variance(mu)[good]
if (any(is.na(varmu)))
stop("NAs in V(mu)")
if (any(varmu == 0))
stop("0s in V(mu)")
mu.eta.val <- mu.eta(eta)
if (any(is.na(mu.eta.val[good])))
stop("NAs in d(mu)/d(eta)")
good <- (weights > 0) & (mu.eta.val != 0)
if (all(!good)) {
conv <- FALSE
stop("no informative observations found")
}
z <- (eta - offset)[good] + (y - mu)[good]/mu.eta.val[good]
w <- sqrt((weights[good] * mu.eta.val[good]^2)/variance(mu)[good])
#aic.model <- aic(y[good], length(y[good]), mu, weights, dev) + 2 * rank
return(list(z=z, w=w , good=good, dev=dev))
}
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