survival-internal {survival} | R Documentation |
Internal survival functions
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, ...) is.na.ratetable2(x) is.na.coxph.penalty(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)
The arguments to these routines are not guarranteed to stay the same from release to release – call them at your own risk!