R: Estimates P(TL <t0+tau | TL > t0, Z, TS==ts) for a single t.

prob2.single {landpred}

R Documentation

Estimates P(TL <t0+tau | TL > t0, Z, TS==ts) for a single t.

Helper function for Prob2.k.t; should not be called directly.

prob2.single(K, W2i, Xi.long, tau, Di.short, Xi.short, Zi, t0, covariate.value)

`K`	Kernel matrix.
`W2i`	inverse probability of censoring weights.
`Xi.long`	XL = min(TL, C) where TL is the time of the long term event, C is the censoring time.
`tau`	the residual survival time for which probabilities are calculated. Specifically, this function estimates the probability that the an individual has the event of interest before t0 + tau given the event has not yet occurred and the individual is still at risk at time t0.
`Di.short`	DS =1*(TS<C), where TS is the time of the short term event, C is the censoring time.
`Xi.short`	log(XS) = log(min(TS, C)) where TS is the time of the short term event, C is the censoring time.
`Zi`	covariate vector.
`t0`	landmark time.
`covariate.value`	specific covariate at which to estimate the conditional probability.

returns estimated probability for values corresponding to the kernel matrix at the specified covariate value;

Layla Parast

[Package landpred version 1.2 Index]