weight_mat: Weight matrix

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

Weight matrix

Description

calculates the weights for every individual in the training dataset at every event time. If an individual experiences an event the weight is given by the ratio of at risk subjects with no event to all at risk subjects. If no event is experienced the weight is given by the ratio of one over all at risk subjects.

Usage

weight_mat(training_dataset, ordered_event_times)

Arguments

training_dataset	data frame representing the training data
ordered_event_times	data frame of all event times ordered in ascending order

Value

matrix storing all weights for every individual

Examples

{
training <- data.frame(id =c(1:5), futime= sort(runif(5)), death = c(TRUE, FALSE, FALSE, TRUE, TRUE), Y=c(5,4,3,2,1)),
times <- subset(training[training$death==TRUE,], select=sort(futime))
SVHM:::weight_mat(training, times)
}

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