Other packages > Find by keyword >

personalized2part  

Two-Part Estimation of Treatment Rules for Semi-Continuous Data
View on CRAN: Click here


Download and install personalized2part package within the R console
Install from CRAN:
install.packages("personalized2part")

Install from Github:
library("remotes")
install_github("cran/personalized2part")

Install by package version:
library("remotes")
install_version("personalized2part", "0.0.1")



Attach the package and use:
library("personalized2part")
Maintained by
Jared Huling
[Scholar Profile | Author Map]
First Published: 2020-09-10
Latest Update: 2020-09-10
Description:
Implements the methodology of Huling, Smith, and Chen (2020) , 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.
How to cite:
Jared Huling (2020). personalized2part: Two-Part Estimation of Treatment Rules for Semi-Continuous Data. R package version 0.0.1, https://cran.r-project.org/web/packages/personalized2part. Accessed 07 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited personalized2part R package
View personalized2part citation profile
Other R packages that personalized2part depends, imports, suggests or enhances
Complete documentation for personalized2part
Downloads during the last 30 days
03/0803/0903/1003/1103/1203/1303/1403/1503/1603/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0404/0504/06Downloads for personalized2part12345678910TrendBars

Today's Hot Picks in Authors and Packages

nutriNetwork  
Structure Learning with Copula Graphical Model
Statistical tool for learning the structure of direct associations among variables for continuous d ...
Download / Learn more Package Citations See dependency  
probout  
Unsupervised Multivariate Outlier Probabilities for Large Datasets
Estimates unsupervised outlier probabilities for multivariate numeric data with many observations fr ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
letsR  
Data Handling and Analysis in Macroecology
Handling, processing, and analyzing geographic data on species' distributions and environmental var ...
Download / Learn more Package Citations See dependency  
MetaAnalyser  
An Interactive Visualisation of Meta-Analysis as a Physical Weighing Machine
An interactive application to visualise meta-analysis data as a physical weighing machine. The inte ...
Download / Learn more Package Citations See dependency  
ASMap  
Linkage Map Construction using the MSTmap Algorithm
Functions for Accurate and Speedy linkage map construction, manipulation and diagnosis of Doubled Ha ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA