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, ...) ## 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, id, istate, type=c('kaplan-meier', 'fleming-harrington', 'fh2'), se.fit=TRUE, conf.int= .95, conf.type=c('log', 'log-log', 'plain', 'none'), conf.lower=c('usual', 'peto', 'modified')) 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!