risk_time_score_training: Training risk time scores
In herglola/SVHM: Support-Vector-Hazard-Machine
View source: R/risk_score_func.r
risk_time_score_training R Documentation
Training risk time scores
Description
calculates the risk scores for all individuals in the training dataset for the time dependent SVHM.
Usage
risk_time_score_training(kernel_mat, event_vec, weight_vec, f_vec, n)
Arguments
kernel_mat
Gram matrix of the covariates
event_vec
vector containing information of the training if a subject experiences an event happens.
weight_vec
vector containing weigths
f_vec
optimal decision function
n
number of individuals in the training dataset
Value
vector of risk scores for all training subjects
herglola/SVHM documentation built on March 24, 2022, 12:44 p.m.
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View source: R/risk_score_func.r
| risk_time_score_training | R Documentation |
Training risk time scores
Description
calculates the risk scores for all individuals in the training dataset for the time dependent SVHM.
Usage
risk_time_score_training(kernel_mat, event_vec, weight_vec, f_vec, n)
Arguments
kernel_mat |
Gram matrix of the covariates |
event_vec |
vector containing information of the training if a subject experiences an event happens. |
weight_vec |
vector containing weigths |
f_vec |
optimal decision function |
n |
number of individuals in the training dataset |
Value
vector of risk scores for all training subjects
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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