| emplik-internal {emplik} | R Documentation |
Internal emplik functions
logelr(x,mu,lam) logwelr(x,mu,wt,lam) gradf(z,wt,lam) llog(z, eps) llogp(z, eps) llogpp(z, eps) Wdataclean2(z,d,wt=rep(1,length(z))) Wdataclean3(z,d,zc=rep(1, length(z)),wt=rep(1,length(z))) Wdataclean5(z,d,zc=rep(1, length(z)),wt=rep(1,length(z)),xmat) DnR(x,d,w,y=rep(-Inf,length(x))) solve3.QP(D, d, A, b, meq, factorized=FALSE) WKM(x,d,zc=rep(1,length(d)),w=rep(1,length(d))) WCY(x,d,zc=rep(1,length(d)),wt=rep(1,length(d)),maxit=25,error=1e-09) LTRC(x,d,w=rep(1, length(d)),y=rep(-Inf, length(x))) el.test.wt3(x,wt,mu,maxit,gradtol,Hessian,svdtol,itertrace) iter(x, y, delta, beta) MMRtime(x, d, age) redistF(y, d, Fdist) gradf2(lam, funt1, evt1, rsk1, funt2, evt2, rsk2, K, n) gradf3(lam, funt1, evt1, rsk1, funt2, evt2, rsk2, K, n)
These are not intended to be called by the user.
Wdataclean2 and
DnR are used by the functions emplikH1.test,
emplikH2.test and emplikdisc.test. It is also used by
LTRC.
DnR too the survival data as input, compute the number at risk
and number of observed events, and output only those time points where
there is some events.
Wdataclean2 will sort the data and collaps those with a true tie.
logelr, llog, llogp and llogpp
are used by function el.test. They are from Owen.
Wdataclean2, WKM and solve3.QP are
used by function el.cen.test.
WKM() is the weighted Kaplan-Meier.
WCY is the weighted Chang and Yang self-consistent estimator
for doubly censored data.
Wdataclean2 is used by el.cen.EM.
LTRC is for Left Truncated and Right Censored data.
gradf3 is used by the function emplikHs.test2.
el.test.wt3 are similar to el.test.wt and el.test.wt2,
but can take vector mean as constraint. llog, llogp and
llogpp are used by both el.test.wt3 and
el.test.wt2. In addition logwelr
is used by el.test.wt3.
iter is for perform one iteration of EM in the Buckley-James
censored regression estimation.
redistF is for redistribution of probability, according to Fdist.
Used in BJtest().