pcalg: Estimation of CPDAG/PAG and causal inference

Standard and robust estimation the equivalence class of a Directed Acyclic Graph (DAG) via the PC-Algorithm. The equivalence class is represented by its (unique) Completetd Partially Directed Acyclic Graph (CPDAG). The function pcSelect implements variable selection techniques based on the PC-algorithm. Furthermore, a PAG instead of a CPDAG can be estimated if latent variables and/or selection variables are assumed to be present. Functions for causal inference (using do-calculus of Judea Pearl) are provided for CPDAGs.

Version: 0.1-9
Depends: methods, MASS, graph, robustbase, Rgraphviz, ggm, mnormt, vcd, RBGL, sfsmisc
Published: 2009-09-23
Author: Markus Kalisch, Martin Maechler, Diego Colombo
Maintainer: Markus Kalisch <kalisch at stat.math.ethz.ch>
License: GPL (≥ 2)
In views: gR
CRAN checks: pcalg results

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Package source: pcalg_0.1-9.tar.gz
MacOS X binary: not available, see check log.
Windows binary: pcalg_0.1-9.zip
Reference manual: pcalg.pdf
Vignettes: pcalg
Old sources: pcalg archive