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().