Covariate Specific Treatment Effect (CSTE) Curve
Overview
A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017)DOI:10.1177/0962280214541724 and Guo et al. (2021)DOI:10.1080/01621459.2020.1865167. It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 8 (1 internal)
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 0%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 75%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- unarchivedReturned to CRAN2024-11-19
- 3.0.0Latest
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-04-20issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 2.0.02021-12-16 · diff ↗
- 1.02021-09-07
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-09-07
- Total releases
- 3 / 5 yrs
- License
- GPL (>= 2) OSI
- Download size
- 14 KB
Cite
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Run in R for the authors' preferred citation:
citation("CSTE")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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