Description Usage Arguments Details Value

`hdslc.fast`

estimates HDS at a single time using the local-in-time
proportional hazards model. See Cai and Sun (2003, Scandinavian Journal of
Statistics) for details on the local-in-time PH model.

1 | ```
hdslc.fast(S, betahat, m)
``` |

`S` |
A vector of length |

`betahat` |
A p x 1 vector of coefficient estimates at time t of interest
from the local-in-time Cox model. Vector length p is the number of
covariates. Typically the output from |

`m` |
A numeric n x p matrix of covariate values, with a column for each covariate and each observation is on a separate row. |

The user typically will not interact with this function. Rather, `hdslc`

wraps this function and is what the user typically will use.

The HDS estimate at times t, where t is implied by choice of `S`

and `betahat`

passed to `hdslc.fast`

.

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