CRAN/E | pcalg

pcalg

Methods for Graphical Models and Causal Inference

Installation

About

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.

Citation pcalg citation info
pcalg.r-forge.r-project.org/

Key Metrics

Version 2.7-11
R ≥ 3.5.0
Published 2024-02-12 163 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks pcalg results

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Maintainer

Maintainer

Markus Kalisch

Authors

Markus Kalisch

aut / cre

Alain Hauser

aut

Martin Maechler

aut

Diego Colombo

ctb

Doris Entner

ctb

Patrik Hoyer

ctb

Antti Hyttinen

ctb

Jonas Peters

ctb

Nicoletta Andri

ctb

Emilija Perkovic

ctb

Preetam Nandy

ctb

Philipp Ruetimann

ctb

Daniel Stekhoven

ctb

Manuel Schuerch

ctb

Marco Eigenmann

ctb

Leonard Henckel

ctb

Joris Mooij

ctb

Material

NEWS
ChangeLog
Reference manual
Package source

In Views

CausalInference
GraphicalModels

Vignettes

Overview of the 'pcalg' Package for R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pcalg archive

Depends

R ≥ 3.5.0

Imports

stats
graphics
utils
methods
abind
graph
RBGL
igraph
ggm
corpcor
robustbase
vcd
Rcpp
bdsmatrix
sfsmisc ≥1.0-26
fastICA
clue

Suggests

MASS
Matrix
Rgraphviz
mvtnorm
huge
ggplot2
dagitty

LinkingTo

Rcpp ≥ 0.11.0
RcppArmadillo
BH

Reverse Depends

micd
qtlnet
tpc

Reverse Imports

BiDAG
causalDisco
clustNet
dce
eff2
epiNEM
kpcalg
mDAG
miRLAB
MRPC
NetCoupler
pcgen
SID

Reverse Suggests

backShift
CompareCausalNetworks
iTOP
ParallelPC
SCCI