scoresurv {precmed} | R Documentation |
Calculate the log CATE score given the baseline covariates and follow-up time for specified scoring method methods for survival outcomes
Description
Based on intxsurv results of the CATE coefficients estimated with random forest, boosting, naive Poisson, two regression, contrast regression
Usage
scoresurv(
fit,
x.cate,
tau0,
score.method = c("randomForest", "boosting", "poisson", "twoReg", "contrastReg")
)
Arguments
fit |
List of objects generated from intxsurv: outputs of random forest, boosting, naive Poisson, two regression, contrast regression |
x.cate |
Matrix of |
tau0 |
The truncation time for defining restricted mean time lost. |
score.method |
A vector of one or multiple methods to estimate the CATE score.
Allowed values are: |
Value
score.randomForest: Estimated log CATE score for all n
observations with the random forest method; vector of size n
score.boosting: Estimated log CATE score for all n
observations with the boosting method; vector of size n
score.poisson: Estimated log CATE score for all n
observations with the naive Poisson method; vector of size n
score.twoReg: Estimated log CATE score for all n
observations with the two regression method; vector of size n
score.contrastReg: Estimated log CATE score for all n
observations with the contrast regression method; vector of size n
score = NA if the corresponding method is not called