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cia

Learn and Apply Directed Acyclic Graphs for Causal Inference

Causal Inference Assistance (CIA) for performing causal inference within the structural causal modelling framework. Structure learning is performed using partition Markov chain Monte Carlo (Kuipers & Moffa, 2017) and several additional functions have been added to help with causal inference. Kuipers and Moffa (2017) <doi:10.1080/01621459.2015.1133426>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 cia_1.0.0.tar.gz 189.4 KiB
1.0.0 rolling linux/noble R-4.5 cia_1.0.0.tar.gz 188.7 KiB
1.0.0 rolling source/ R- cia_1.0.0.tar.gz 43.3 KiB
1.0.0 latest linux/jammy R-4.5 cia_1.0.0.tar.gz 189.4 KiB
1.0.0 latest linux/noble R-4.5 cia_1.0.0.tar.gz 188.7 KiB
1.0.0 latest source/ R- cia_1.0.0.tar.gz 43.3 KiB
1.0.0 2026-04-26 source/ R- cia_1.0.0.tar.gz 43.3 KiB
1.0.0 2026-04-23 source/ R- cia_1.0.0.tar.gz 43.3 KiB
1.0.0 2026-04-09 windows/windows R-4.5 cia_1.0.0.zip 192.8 KiB
1.0.0 2025-04-20 source/ R- cia_1.0.0.tar.gz 43.3 KiB

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