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DESCRIPTION
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DESCRIPTION
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Package: personalized2part
Type: Package
Title: Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Version: 0.0.2
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