pcalg: Methods for Graphical Models and Causal Inference

Canonical link: https://scholar.rpkg.net/pkg/pcalg

Markus Kalisch • Alain Hauser • Martin Maechler • Diego Colombo • Doris Entner • Patrik Hoyer • Antti Hyttinen • Jonas Peters • Nicoletta Andri • Emilija Perkovic • Preetam Nandy • Philipp Ruetimann • Daniel Stekhoven • Manuel Schuerch • Marco Eigenmann • Leonard Henckel • Joris Mooij • View description and downloads View dependencies GitHub project

2006 Published

2.7-11 Version

0 Citations

17 Authors

Referenced by ⇅	Year
BiDAG: Bayesian Inference for Directed Acyclic Graphs (Version 2.1.4)	2017
CompareCausalNetworks: Interface to Diverse Estimation Methods of Causal Networks (Version 0.2.6.2)	2015
MRPC: PC Algorithm with the Principle of Mendelian Randomization (Version 3.1.0)	2018
NetCoupler: Inference of Causal Links Between a Network and an External Variable (Version 0.1.0)	2022
ParallelPC: Paralellised Versions of Constraint Based Causal Discovery Algorithms (Version 1.2)	2015
SCCI: Stochastic Complexity-Based Conditional Independence Test for Discrete Data (Version 1.2)	2019
SID: Structural Intervention Distance (Version 1.1)	2015
backShift: Learning Causal Cyclic Graphs from Unknown Shift Interventions (Version 0.1.4.3)	2015
causalDisco: Tools for Causal Discovery on Observational Data (Version 0.9.1)	2022
clustNet: Network-Based Clustering (Version 1.2.0)	2023
eff2: Efficient Least Squares for Total Causal Effects (Version 1.0.2)	2021
iTOP: Inferring the Topology of Omics Data (Version 1.0.2)	2018
kpcalg: Kernel PC Algorithm for Causal Structure Detection (Version 1.0.1)	2017
mDAG: Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph (Version 1.2.2)	2019
micd: Multiple Imputation in Causal Graph Discovery (Version 1.1.1)	2022
pcgen: Reconstruction of Causal Networks for Data with Random Genetic Effects (Version 0.2.0)	2018
qtlnet: Causal Inference of QTL Networks (Version 1.5.4)	2012
tpc: Tiered PC Algorithm (Version 1.0)	2023

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