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survival (version 3.6-4)

survival-internal: 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 ratetable
as.matrix(x, ...)
# S3 method for 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)

Arguments

Details

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