Estimation and Validation Methods for Subgroup Identification and Personalized Medicine

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Documentation for package ‘personalized’ version 0.2.7

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

check.overlap	Check propensity score overlap
create.augmentation.function	Creation of augmentation functions
create.propensity.function	Creation of propensity fitting function
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.