survfit.coxph
function. The difference is that survfit.cph
assumes that
x=TRUE,y=TRUE
were specified to the fit. This assures that the
environment in effect at the time of the fit (e.g., automatic knot
estimation for spline functions) is the same one used for basing predictions.## S3 method for class 'cph':
survfit(formula, newdata, se.fit=TRUE, conf.int=0.95,
individual=FALSE, type, vartype,
conf.type=c('log', "log-log", "plain", "none"), ...)
cph
or coxph
see survfit.coxph
survfit
survfit.coxph
survest.cph