Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots
Overview
Implements the procedures suggested in Esarey and Sumner (2017) http://justinesarey.com/interaction-overconfidence.pdf for controlling the false discovery rate when constructing marginal effects plots for models with interaction terms.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Justin Esarey <justin@justinesarey.com>’
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Authors@R: c(person(given = "Justin",
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email = "justin@justinesarey.com"),
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family = "Sumner",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 4
- Examples that run
- 0%1 never run
- Exported functions with examples
- 33%
- Documented parameters
- 100%
- Return-value docs
- 33%
- Help pages citing references
- 75%
Downloads
Dependencies
Installing interactionTest adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Maintainer since 1.0.1 (2017), previously Jane Lawrence Sumner (1.0)
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- 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
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.2Latest
- RR 3.6.0 released · 2019-04-26
- 1.12018-11-30 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.0.12017-03-21 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 1.02015-09-01
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-09-01
- Total releases
- 4 / 11 yrs
- License
- GPL
- Minimum R
- ≥ 3.4
- Bundled data
- 18 KB / 1 file
- Download size
- 23 KB
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