SurrogateTest
1.3Early Testing for a Treatment Effect using Surrogate Marker Information
Overview
Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect" Biometrics, 75(4):1253-1263. doi:10.1111/biom.13067.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 4.0 median / 30 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
15 0 exported
Complexity
5.3 avg / 30 max
Call network
15 nodes / 23 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
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People & History
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 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
- 1.3Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.22020-03-29 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.12019-03-28 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.02017-10-29
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-10-29
- Total releases
- 4 / 9 yrs
- License
- GPL
- Bundled data
- 58 KB / 2 files
- Download size
- 74 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet