Package: personalized2part
Type: Package
Title: Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Version: 0.0.1
Authors@R: c(
    person("Jared", "Huling",  role = c("aut", "cre"), email = "jaredhuling@gmail.com",
            comment = c(ORCID = "0000-0003-0670-4845"))
    )
Description: Implements the methodology of Huling, Smith, and 
    Chen (2020) <doi:10.1080/01621459.2020.1801449>, which allows for subgroup identification 
    for semi-continuous outcomes by estimating individualized treatment rules. It uses a two-part 
    modeling framework to handle semi-continuous data by separately modeling the positive part 
    of the outcome and an indicator of whether each outcome is positive, but still results in a 
    single treatment rule. High dimensional data is handled with a cooperative lasso penalty, 
    which encourages the coefficients in the two models to have the same sign. 
URL: https://github.com/jaredhuling/personalized2part
BugReports: https://github.com/jaredhuling/personalized2part/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: personalized, HDtweedie
LinkingTo: Rcpp, RcppEigen
Imports: Rcpp, foreach, methods
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-02 20:55:06 UTC; jared
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>)
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-10 10:00:03 UTC
Built: R 4.5.0; aarch64-apple-darwin20; 2025-01-20 01:03:50 UTC; unix
Archs: personalized2part.so.dSYM
