Based on intxmean results of the CATE coefficients estimated with boosting, linear regression, two regression, contrast regression, random forest, generalized additive model
scoremean(
fit,
x.cate,
score.method = c("boosting", "gaussian", "twoReg", "contrastReg", "randomForest",
"gam")
)score.boosting: Estimated CATE score for all n observations with the boosting method; vector of size n
score.gaussian: Estimated CATE score for all n observations with the linear regression method; vector of size n
score.twoReg: Estimated CATE score for all n observations with the two regression method; vector of size n
score.contrastReg: Estimated CATE score for all n observations with the contrast regression method; vector of size n
score.randomForest: Estimated CATE score for all n observations with the random forest method; vector of size n
score.gam: Estimated CATE score for all n observations with the generalized additive model; vector of size n
score = NA if the corresponding method is not called
List of objects generated from intxmean: outputs of boosting, linear regression, two regression, contrast regression, random forest, generalized additive model
Matrix of p.cate baseline covariates; dimension n (observations) by p.cate (covariates in the outcome model)
A vector of one or multiple methods to estimate the CATE score.
Allowed values are: 'boosting', 'gaussian', 'twoReg', 'contrastReg', 'randomForest', 'gam'.
Default specifies all 6 methods.