Bayesian Networks
Extract conditional probabilities and clique potentials from data.
Compile conditional probability tables / cliques potentials.
Create conditional probability tables (CPTs)
Chest clinic example
Wet grass example
Set, retrieve, and retract finding in Bayesian network.
gRain generics
Compile Bayesian network.
Set, update and remove evidence.
Make predictions from Bayesian network
Propagate in a Bayesian network
Create Bayesian network
Simulate from Bayesian network
Internal functions for the gRain package
Load and save Hugin net files
Conditional probability tables based on logical dependencies
Mendelian segregation
Extract conditional probabilities and clique potentials from data.
Compile conditional probability tables / cliques potentials.
Set, update and remove evidence.
Create repeated patterns in Bayesian networks
Replace CPTs in Bayesian network
Query a Bayesian network
Create repeated patterns in Bayesian networks
Replace CPTs in Bayesian network
Simplify output query to a Bayesian network
Probability propagation in Bayesian networks, also known as graphical independence networks. 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.