Usage
shr(formula, data, eps = c(5, 5, 3), nknots=7,
irec = 0 , kappa0 = 10000, igraph = 1, maxiter = 200, hazard = "Weib",
print.iter = FALSE, na.action = na.omit)
Arguments
formula
a formula object with the response on the left of a $\texttildelow$
operator, and the terms on the right. The response must be a
survival object or Hist object as returned by the 'Surv' or 'Hist' function.
data
a data frame in which to interpret the variables named in the formula.
eps
a vector of length 3 for the convergence criteria (criterion for parameters, criterion for likelihood, criterion for second derivatives). The default is 'c(5,5,3)' and corresponds to criteria equals to $10^{-5}$, $10^{-5}$ and $10^{-3}$.
nknots
number of knots for the splines to use to approximate the hazard function. Argument for the penalized likelihood approach.
The default is 7.
irec
binary variable equals to 1 when search (by approximated cross validation) of the smoothing parameter kappa and 0 otherwise. Argument for the penalized likelihood approach. The default is 0.
kappa0
if irec=0, smoothing parameter; if irec=1, initial value of the smoothing parameters for the cross validation search. Argument for the penalized likelihood approach.
igraph
a binary variable equals to 1 when you want to output graph of the survival function, 0 otherwise. The default is 1.
maxiter
maximum number of iterations. The default is 200.
hazard
type of estimation method: "Splines" for a penalized likelihood approach with approximation of the hazard function by M-splines, "Weib" for a parametric approach with a Weibull distribution on the hazard function. Default is "Weib".
print.iter
boolean parameter. Equals to TRUE to print the likelihood during the iteration process, FALSE otherwise. Default is FALSE. This option is not running on Windows.
na.action
how NAs are treated. The default is first, any na.action attribute of data, second a na.action setting of options, and third 'na.fail' if that is unset. The 'factory-fresh' default is na.omit. Another possible value is NULL.