survival-internal {survival} | R Documentation

## 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)
    is.category(x)
    match.ratetable(R, ratetable)
    ## S3 method for class 'ratetable'
    as.matrix(x, ...)
    ## S3 method for class 'ratetable2'
    is.na(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)
    coxph.fit(x, y, strata, offset, init, control, weights, method,
        rownames)
    coxph.wtest(var, b, toler.chol = 1e-09)
    agreg.fit(x, y, strata, offset, init, control, weights, method,
        rownames)
    agexact.fit(x, y, strata, offset, init, control, weights, method,
        rownames)
    survfitCI(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'),
                           conf.lower=c('usual', 'peto', 'modified'),
                           etype, id)
    survfitKM(x, y, casewt=rep(1,length(x)),
                           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'),
                           conf.lower=c('usual', 'peto', 'modified'),
                           start.time, new.time)
    survfitTurnbull(x, y, casewt,
                           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'),
                           conf.lower=c('usual', 'peto', 'modified'),
                           start.time)

### Details

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

[Package survival version 2.36-14 Index]