absorbEvidence |
Set, update and remove evidence. |
andtab |
Conditional probability tables based on logical dependencies |
andtable |
Conditional probability tables based on logical dependencies |
as.data.frame.grain_ev |
Evidence objects |
booltab |
Conditional probability tables based on logical dependencies |
chest |
Chest clinic example |
chest_cpt |
Chest clinic example |
compile.cpt_grain |
Compile a graphical independence network (a Bayesian network) |
compile.grain |
Compile a graphical independence network (a Bayesian network) |
compile.pot_grain |
Compile a graphical independence network (a Bayesian network) |
compileCPT |
Compile conditional probability tables / cliques potentials. |
compilePOT |
Compile conditional probability tables / cliques potentials. |
components_extract |
Extract conditional probabilities and clique potentials from data. |
components_gather |
Compile conditional probability tables / cliques potentials. |
cpt-update |
Update components of Bayesian network |
cptable |
Create conditional probability tables (CPTs) |
evidence |
Set, update and remove evidence. |
evidence.grain |
Set, update and remove evidence. |
evidence<- |
Set, update and remove evidence. |
evidence<-.grain |
Set, update and remove evidence. |
evidence_object |
Evidence objects |
extractCPT |
Extract conditional probabilities and clique potentials from data. |
extractMARG |
Extract conditional probabilities and clique potentials from data. |
extractPOT |
Extract conditional probabilities and clique potentials from data. |
finding |
Set, retrieve, and retract finding in Bayesian network. |
generics |
gRain generics |
getEvidence |
Set, update and remove evidence. |
getFinding |
Set, retrieve, and retract finding in Bayesian network. |
grain |
Graphical Independence Network |
grain-main |
Graphical Independence Network |
grain-simulate |
Simulate from an independence network |
grain.CPTspec |
Graphical Independence Network |
grain.cpt_spec |
Graphical Independence Network |
grain.dModel |
Graphical Independence Network |
grain.graphNEL |
Graphical Independence Network |
grain.pot_spec |
Graphical Independence Network |
grain_compile |
Compile a graphical independence network (a Bayesian network) |
grain_evidence |
Set, update and remove evidence. |
grain_jevidence |
Set joint evidence in grain objects |
grain_predict |
Make predictions from a probabilistic network |
grain_propagate |
Propagate a graphical independence network (a Bayesian network) |
grass |
Wet grass example |
grass_cpt |
Wet grass example |
is.null_ev |
Evidence objects |
load-save-hugin |
Load and save Hugin net files |
loadHuginNet |
Load and save Hugin net files |
logical |
Conditional probability tables based on logical dependencies |
marg2pot |
Extract conditional probabilities and clique potentials from data. |
mendel |
Mendelian segregation |
new_ev |
Evidence objects |
new_jev |
Set joint evidence in grain objects |
nodeNames |
gRain generics |
nodeNames.grain |
gRain generics |
nodeStates |
gRain generics |
nodeStates.grain |
gRain generics |
ortab |
Conditional probability tables based on logical dependencies |
ortable |
Conditional probability tables based on logical dependencies |
parse_cpt |
Compile conditional probability tables / cliques potentials. |
parse_cpt, |
Compile conditional probability tables / cliques potentials. |
parse_cpt.default |
Compile conditional probability tables / cliques potentials. |
parse_cpt.xtabs,parse_cpt.cptable_class, |
Compile conditional probability tables / cliques potentials. |
pEvidence |
Set, update and remove evidence. |
pFinding |
Set, retrieve, and retract finding in Bayesian network. |
pot2marg |
Extract conditional probabilities and clique potentials from data. |
predict.grain |
Make predictions from a probabilistic network |
print.grain_ev |
Evidence objects |
print.grain_jev |
Set joint evidence in grain objects |
propagate.grain |
Propagate a graphical independence network (a Bayesian network) |
propagateLS |
Propagate a graphical independence network (a Bayesian network) |
propagateLS__ |
Propagate a graphical independence network (a Bayesian network) |
qgrain |
Query a network |
querygrain |
Query a network |
querygrain.grain |
Query a network |
repeatPattern |
Create repeated patterns in Bayesian networks |
retractEvidence |
Set, update and remove evidence. |
retractFinding |
Set, retrieve, and retract finding in Bayesian network. |
retractJEvidence |
Set joint evidence in grain objects |
rip.grain |
gRain generics |
saveHuginNet |
Load and save Hugin net files |
setCPT |
Update components of Bayesian network |
setCPT.cpt_grain |
Update components of Bayesian network |
setdiff_ev |
Evidence objects |
setEvidence |
Set, update and remove evidence. |
setFinding |
Set, retrieve, and retract finding in Bayesian network. |
setJEvidence |
Set joint evidence in grain objects |
simulate.grain |
Simulate from an independence network |
subset.grain_ev |
Evidence objects |
union_ev |
Evidence objects |
universe |
gRain generics |
universe.grain |
gRain generics |
varNames.grainEvidence_ |
gRain generics |
varNames.grain_ev |
Evidence objects |
vpar.cpt_grain |
gRain generics |
vpar.cpt_spec |
gRain generics |