simcausal
0.5.7Simulating Longitudinal Data with Causal Inference Applications
Overview
A flexible tool for simulating complex longitudinal data using structural equations, with emphasis on problems in causal inference. Specify interventions and simulate from intervened data generating distributions. Define and evaluate treatment-specific means, the average treatment effects and coefficients from working marginal structural models. User interface designed to facilitate the conduct of transparent and reproducible simulation studies, and allows concise expression of complex functional dependencies for a large number of time-varying nodes. See the package vignette for more information, documentation and examples.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 85%
- References docs
- 16%
Downloads
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Checks run against github.com/osofr/simcausal on 2026-07-30.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
11 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
- 0.5.7Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.5.62022-10-28 · diff ↗
- unarchivedReturned to CRAN2022-10-28
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2020-02-19check problems were not corrected despite reminders
- RR 3.6.0 released · 2019-04-26
- 0.5.52019-01-08 · diff ↗
- unarchivedReturned to CRAN2019-01-08
- archivedRemoved from CRAN2018-08-19check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2015-05-16
- Total releases
- 11 / 11 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.2.0
- Download size
- 802 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet