hds_t: Hazard discrimination summary estimate at one time point

In hds: Hazard Discrimination Summary

Description

hds_t estimates HDS at time t under the PH assumption

Usage

hds_t(t, L0hat, betahat, m)

Arguments

t	The time at which to calculate HDS
L0hat	A data frame with variable names of hazard and time. Typically the object returned by basehaz.
betahat	A vector of coefficient estimates from the Cox model. Typically the coefficients value from the coxph.object object returned by coxph.
m	A numeric matrix of covariate values, with a column for each covariate and each observation is on a separate row.

Details

The user typically will not interact with this function. Rather, hds is a wrapper for this function and is what the user typically will use.

hds documentation built on May 2, 2019, 9:44 a.m.