Software application profile: <i>tpc</i> and <i>micd—</i>R packages for causal discovery with incomplete cohort data

The tpc and micd packages are freely available on the Comprehensive R Archive Network (CRAN). Their source code is also available on GitHub (https://github.com/bips-hb/micd; https://github.com/bips-hb/tpc).

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Publication Details

Journal
International Journal of Epidemiology
Published
2024-08-14
DOI
https://doi.org/10.1093/ije/dyae113
Citations
3
Primary Topic
Bayesian Modeling and Causal Inference
Type
article
Field-Weighted Citation Impact
1.04

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article

Software application profile: tpc and micd—R packages for causal discovery with incomplete cohort data

Ronja Foraita, Janine Witte, Vanessa Didelez, Ryan M. Andrews et al.
3 citations
International Journal of Epidemiology
Bayesian Modeling and Causal Inference
1.04
article

Software application profile: tpc and micd—R packages for causal discovery with incomplete cohort data

Ronja Foraita, Janine Witte, Vanessa Didelez, Ryan M. Andrews, Christine Winther Bang
article en
3 citations

Abstract

The tpc and micd packages are freely available on the Comprehensive R Archive Network (CRAN). Their source code is also available on GitHub (https://github.com/bips-hb/micd; https://github.com/bips-hb/tpc).

International Journal of EpidemiologyVol. 53(5)
Boston University (US), University of Bremen (DE), Leibniz Institute for Prevention Research and Epidemiology - BIPS (DE)
Deutsche Forschungsgemeinschaft, National Institutes of Health
Openalex Percentile: Top 19%
Bayesian Modeling and Causal Inference
1.04
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