Estimation and Validation Methods for Subgroup Identification and Personalized Medicine


[Up] [Top]

Documentation for package ‘personalized’ version 0.2.3

Help Pages

check.overlap Check propensity score overlap
fit.subgroup Fitting subgroup identification models
LaLonde National Supported Work Study Data
plot.subgroup_fitted Plotting results for fitted subgroup identification models
plot.subgroup_validated Plotting results for fitted subgroup identification models
plotCompare Plot a comparison results for fitted or validated subgroup identification models
predict.subgroup_fitted Function to predict either benefit scores or treatment recommendations
predict.wksvm Function to predict either benefit scores or treatment recommendations
print.individual_treatment_effects Printing individualized treatment effects
print.subgroup_fitted Printing results for fitted subgroup identification models
print.subgroup_summary Printing results for fitted subgroup identification models
print.subgroup_validated Printing results for fitted subgroup identification models
subgroup.effects Computes treatment effects within various subgroups
summarize.subgroups Summarizing covariates within estimated subgroups
summarize.subgroups.default Summarizing covariates within estimated subgroups
summarize.subgroups.subgroup_fitted Summarizing covariates within estimated subgroups
summary.subgroup_fitted Summary of results for fitted subgroup identification models
summary.wksvm Summary of results for fitted subgroup identification models
treat.effects Calculation of covariate-conditional treatment effects
treatment.effects Calculation of covariate-conditional treatment effects
treatment.effects.default Calculation of covariate-conditional treatment effects
treatment.effects.subgroup_fitted Calculation of covariate-conditional treatment effects
validate.subgroup Validating fitted subgroup identification models
weighted.ksvm Fit weighted kernel svm model.