Enhanced Tipping Point Displays the Results of Sensitivity Analysis for Missing Data
Overview
Using the idea of "tipping point" (proposed in Gregory Campbell, Gene Pennello and Lilly Yue(2011) DOI:10.1080/10543406.2011.550094) to visualize the results of sensitivity analysis for missing data, the package provides a set of functions to list out all the possible combinations of missing values in two treatment arms, calculate corresponding estimated treatment effects and p values, and draw a colored heat-map. It could deal with randomized experiments with a binary outcome or a continuous outcome. In addition, the package provides a visualized method to compare various imputation methods by adding the rectangles or convex hulls on the basic plot.
- resubmitted to CRAN to resolve check error.
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Documentation
- Help pages
- 5
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- 0%
- Help pages citing references
- 20%
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Maintainer since 1.0.0 (2016)
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- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-12-19issues were not corrected in time
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2022-04-08
- 1.2.02022-04-08 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2020-02-07check issues were not corrected in time Requires archived package 'bayesSurv'
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.1.02016-05-02 · diff ↗
- 1.0.02016-05-02
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-05-02
- Total releases
- 3 / 10 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 19 KB / 2 files
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