This package has been deprecated and will not be updated.
New users should use the package 'gprofiler2' (<https://CRAN.R-project.org/package=gprofiler2>)
for up-to-date data and improved functionality.
Functional enrichment analysis, gene identifier conversion and
mapping homologous genes across related organisms via the 'g:Profiler' toolkit
(<https://biit.cs.ut.ee/gprofiler/>).

A package for probability propagation in graphical independence networks.

A package for probability propagation in graphical independence networks, also known as probabilistic expert systems (which includes Bayesian networks as a special case).

A package for probability propagation in graphical
independence networks, also known as probabilistic expert
systems (which includes Bayesian networks as a special case).

A package for probability propagation in graphical
independence networks, also known as probabilistic expert
systems or Bayesian networks.

R (>= 2.1.0),methods,gRbase (>= 1.6-2),graph,RBGL

A package for probability propagation in graphical independence networks, also known as probabilistic expert systems or Bayesian networks.

Probability propagation in graphical independence networks, also known as probabilistic expert systems or Bayesian networks.
Rcpp (>= 0.11.1), RcppArmadillo, RcppEigen, gRbase (>=
1.7-2)

Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems.

Probability propagation in graphical independence networks, also
known as Bayesian networks or probabilistic expert systems.
igraph, graph, magrittr, functional, Rcpp (>= 0.11.1)
Rcpp (>= 0.11.1), RcppArmadillo, RcppEigen, gRbase (>=
1.8-0)

graph, Rgraphviz, igraph, magrittr, functional, Rcpp (>=
0.11.1)
Rcpp (>= 0.11.1), RcppArmadillo, RcppEigen, gRbase

microbenchmark, knitr, testthat (>= 2.1.0)
graph, Rgraphviz, igraph, stats4, magrittr, Rcpp (>= 0.11.1)

Probability propagation in graphical independence networks, also
known as Bayesian networks or probabilistic expert systems. Documentation
of the package is provided in vignettes included in the package and in
the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>).
See 'citation("gRain")' for details.