Estimation of CPDAG/PAG and causal inference using the IDA algorithm CRAN Task View: gR (http://CRAN.R-project.org/view=gR) Standard and robust estimation of the equivalence class of a Directed Acyclic Graph (DAG) via the PC-Algorithm. The equivalence class is represented by its (unique) Completete Partially Directed Acyclic Graph (CPDAG). Furthermore, a PAG instead of a CPDAG can be estimated if latent variables and/or selection variables are assumed to be present. FCI and RFCI are available for estimating PAGs. Functions for causal inference using the IDA algorithm (based on do-calculus of Judea Pearl) are provided for CPDAGs. Software Depends: methods, abind, corpcor, sfsmisc Imports: graph, RBGL, ggm, robustbase, graphics, vcd Suggests: MASS, Matrix, graph, Rgraphviz, ggm Markus Kalisch <kalisch@stat.math.ethz.ch> Markus Kalisch, Martin Maechler, Diego Colombo GPL (>= 2) 2012-04-26 application/tgz http://CRAN.R-project.org/package=pcalg