#
Estimates P(TL t0, Z, TS==ts) for a single t.

### Description

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

### Usage

1 | ```
prob2.single(K, W2i, Xi.long, tau, Di.short, Xi.short, Zi, t0, covariate.value)
``` |

### Arguments

`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. |

### Value

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

### Author(s)

Layla Parast