SurrogateOutcome
1.2Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information
Overview
Estimates the proportion of treatment effect on a censored primary outcome that is explained by the treatment effect on a censored surrogate outcome/event. All methods are described in detail in Parast, et al (2020) "Assessing the Value of a Censored Surrogate Outcome" <doi:10.1007/s10985-019-09473-1> and Wang et al (2025) "Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival" <doi:10.1002/sim.70268>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogateoutcome>.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
Test coverage
Line coverage
–
Expression
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Tests / Examples
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Functions
19 9 exported
Complexity
5.3 avg / 15 max
Call network
19 nodes / 30 edges
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Open call graph →Lowest coverage
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People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.12021-11-15 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.02019-04-09
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-04-09
- Total releases
- 3 / 7 yrs
- License
- GPL
- Download size
- not tracked yet
- Installed size
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- With dependencies
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