risk_time_score: risk time scores

In herglola/SVHM: Support-Vector-Hazard-Machine

risk time scores

Description

calculates the risk scores for one individual with the help of the calculated optimal solution to the quadratic programming problem of time dependent SVHM at time j.

Usage

risk_time_score(
  gamma_sol,
  event_vec,
  weight_vec,
  v,
  covariates_train,
  n,
  gamma_squared = 0.5
)

Arguments

gamma_sol	optimal solution of the SVHM
event_vec	vector containing information of the training if a subject experiences an event happens.
weight_vec	vector containing weigths
v	covariates of the individual for which the risk is to be calculated
covariates_train	dataset of covariates of the subjects in the training dataset
n	number of individuals in the training dataset
gamma_squared	width of gaussian kernel

Value

$f_at_j decision function at j $risk_at_j risk score of the individualat time j

herglola/SVHM documentation built on March 24, 2022, 12:44 p.m.