paths
0.1.2An Imputation Approach to Estimating Path-Specific Causal Effects
Overview
In causal mediation analysis with multiple causally ordered mediators, a set of path-specific effects are identified under standard ignorability assumptions. This package implements an imputation approach to estimating these effects along with a set of bias formulas for conducting sensitivity analysis (Zhou and Yamamoto doi:10.31235/osf.io/2rx6p). It contains two main functions: paths() for estimating path-specific effects and sens() for conducting sensitivity analysis. Estimation uncertainty is quantified using the nonparametric bootstrap.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 56%
Downloads
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Code & Tests
Datasets
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
- 0.1.2Latest
- 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
- 0.1.12021-06-18 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.1.02020-05-06
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-05-06
- Total releases
- 3 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.5.0
- Bundled data
- 3.6 KB / 2 files
- Download size
- 55 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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