Internal survival functions

Description

Internal survival functions

Usage

survreg.fit(x, y, weights, offset, init, controlvals, dist, scale = 0,
    nstrat = 1, strata, parms = NULL,assign)
survpenal.fit(x, y, weights, offset, init, controlvals, dist, scale = 0,
    nstrat = 1, strata, pcols, pattr, assign, parms = NULL)
survdiff.fit(y, x, strat, rho = 0)
match.ratetable(R, ratetable)
## S3 method for class 'ratetable'
as.matrix(x, ...)
## S3 method for class 'coxph.penalty'
is.na(x)
coxpenal.df(hmat, hinv, fdiag, assign.list, ptype, nvar, pen1,
    pen2, sparse)
coxpenal.fit(x, y, strata, offset, init, control, weights, method,
    rownames, pcols, pattr, assign, nocenter)
agexact.fit(x, y, strata, offset, init, control, weights, method,
    rownames, resid=TRUE, nocenter=NULL) 
survfitKM(x, y, weights=rep(1,length(x)),
                       stype=1, ctype=1, 
                       se.fit=TRUE,
                       conf.int= .95,
                       conf.type=c('log',  'log-log',  'plain', 'none',
                                   'logit', 'arcsin'),
                       conf.lower=c('usual', 'peto', 'modified'),
                       start.time, id, cluster, robust,
                       influence=FALSE, type, entry, time0) 
survfitTurnbull(x, y, weights,
                       type=c('kaplan-meier', 'fleming-harrington', 'fh2'),
                       error=c('greenwood', "tsiatis"), se.fit=TRUE,
                       conf.int= .95,
                       conf.type=c('log',  'log-log',  'plain', 'none',
                                   'logit', 'arcsin'),
                       conf.lower=c('usual', 'peto', 'modified'),
                       start.time, robust, cluster, time0)

Details

The arguments to these routines are not guaranteed to stay the same from release to release – call them at your own risk!