Other packages > Find by keyword >

pcalg  

Methods for Graphical Models and Causal Inference
View on CRAN: Click here


Download and install pcalg package within the R console
Install from CRAN:
install.packages("pcalg")

Install from Github:
library("remotes")
install_github("cran/pcalg")

Install by package version:
library("remotes")
install_version("pcalg", "2.7-12")



Attach the package and use:
library("pcalg")
Maintained by
Markus Kalisch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-06-06
Latest Update: 2024-09-12
Description:
Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
How to cite:
Markus Kalisch (2006). pcalg: Methods for Graphical Models and Causal Inference. R package version 2.7-12, https://cran.r-project.org/web/packages/pcalg. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.1-3 (2006-06-06 22:35), 0.1-4 (2006-11-02 12:52), 0.1-5 (2007-04-11 19:05), 0.1-6 (2008-04-02 12:17), 0.1-7 (2008-04-16 19:39), 0.1-8 (2009-03-06 17:53), 0.1-9 (2009-09-23 18:45), 1.0-0 (2010-03-14 08:50), 1.0-2 (2010-04-16 11:51), 1.1-2 (2010-10-27 07:09), 1.1-4 (2011-05-09 15:30), 1.1-5 (2012-04-26 19:34), 1.1-6 (2014-03-02 12:45), 2.0-1 (2014-03-07 15:18), 2.0-2 (2014-03-19 16:10), 2.0-3 (2014-07-01 09:33), 2.0-10 (2015-03-19 11:22), 2.2-0 (2015-05-13 17:01), 2.2-2 (2015-06-24 11:15), 2.2-3 (2015-07-12 23:39), 2.2-4 (2015-07-23 09:21), 2.4-2 (2016-09-26 16:47), 2.4-3 (2016-09-28 17:10), 2.4-5 (2017-02-22 09:57), 2.5-0 (2017-07-12 12:41), 2.6-0 (2018-06-04 20:23), 2.6-2 (2019-04-26 00:40), 2.6-5 (2019-08-27 14:00), 2.6-6 (2019-09-16 17:50), 2.6-7 (2019-10-23 16:40), 2.6-8 (2019-11-21 13:00), 2.6-9 (2020-02-11 14:00), 2.6-10 (2020-03-03 15:40), 2.6-11 (2020-08-16 18:00), 2.6-12 (2020-09-22 17:30), 2.7-0 (2020-11-17 09:20), 2.7-1 (2021-01-09 07:30), 2.7-2 (2021-04-22 06:50), 2.7-3 (2021-06-01 10:30), 2.7-4 (2021-11-25 11:10), 2.7-5 (2022-02-22 13:40), 2.7-6 (2022-04-04 13:50), 2.7-7 (2022-10-04 16:20), 2.7-8 (2022-12-21 01:20), 2.7-9 (2023-09-26 07:40), 2.7-10 (2024-02-06 17:10), 2.7-11 (2024-02-12 13:00)
Other packages that cited pcalg R package
View pcalg citation profile
Other R packages that pcalg depends, imports, suggests or enhances
Complete documentation for pcalg
Functions, R codes and Examples using the pcalg R package
Some associated functions: EssGraph-class . GaussL0penIntScore-class . GaussL0penObsScore-class . GaussParDAG-class . LINGAM . ParDAG-class . Score-class . addBgKnowledge . adjustment . ages . amatType . backdoor . beta.special . beta.special.pcObj . binCItest . checkTriple . compareGraphs . condIndFisherZ . corGraph . dag2cpdag . dag2essgraph . dag2pag . disCItest . dreach . dsep . dsepAM . dsepAMTest . dsepTest . fci . fciAlgo-class . fciPlus . find.unsh.triple . gAlgo-class . gac . gds . ges . getGraph . getNextSet . gies . gmB . gmD . gmG . gmI . gmInt . gmL . ida . idaFast . iplotPC . isValidGraph . jointIda . legal.path . mat2targets . mcor . opt.target . optAdjSet . pag2anc . pag2conf . pag2edge . pag2mag . pc.cons.intern . pc . pcAlgo-class . pcAlgo . pcSelect . pcSelect.presel . pcalg-internal . pcalg2dagitty . pcorOrder . pdag2allDags . pdag2dag . pdsep . plotAG . plotSG . possAn . possDe . possibleDe . qreach . r.gauss.pardag . randDAG . randomDAG . rfci . rmvDAG . rmvnorm.ivent . searchAM . shd . showAmat . showEdgeList . simy . skeleton . trueCov . udag2apag . udag2pag . udag2pdag . visibleEdge . wgtMatrix . 
Some associated R codes: Aaux.R . AllClasses.R . adjustment.R . agesFuns.R . deprecated.R . dsepAM.R . fci.R . fciPlus.R . gacFuns.R . genRandDAG.R . gies.R . isValidGraph.R . jointIda.R . lingamFuns.R . optAdjSet.R . pag2anc.R . pag2conf.R . pag2edge.R . pcalg.R . pcalg2dagitty.R . pdsep.R . possDeAn.R . searchAM.R . udag2pag.R . zzz.R .  Full pcalg package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA