addarrow |
Adding/Turning/Removing arrows |
addarrows |
Add arrows to/from node |
addrandomarrow |
Adding/Turning/Removing random arrows |
as.network |
Greedy search |
autosearch |
Greedy search |
banlist |
Bayesian network data structure |
cond |
Calculate conditional distribution |
conditional |
Calculate conditional distribution |
cycletest |
Test if network contains a cycle |
deleterandomarrow |
Adding/Turning/Removing random arrows |
drawnetwork |
Graphical interface for editing networks |
elementin |
Is a network element in a list of networks? |
findex |
Translation between indices in a multiway array |
findleaf |
Test if network contains a cycle |
genlatex |
From a network family, generate LaTeX output |
genpicfile |
From a network family, generate LaTeX output |
heuristic |
Greedy search |
insert |
Insert/remove an arrow in network |
inspectprob |
Graphical interface for editing networks |
jointcont |
Calculates the joint prior distribution |
jointdisc |
Calculates the joint prior distribution |
jointprior |
Calculates the joint prior distribution |
ksl |
Health and social characteristics |
learn |
Estimation of parameters in the local probability distributions |
learnnode |
Estimation of parameters in the local probability distributions |
line |
Prints a line of symbols |
localmaster |
Local master |
makenw |
Greedy search |
makesimprob |
Make a suggestion for simulation probabilities |
maketrylist |
Creates the full trylist |
modelstreng |
Greedy search |
network |
Bayesian network data structure |
networkfamily |
Generates and learns all networks for a set of variables. |
node |
Representation of nodes |
nodes |
Representation of nodes |
numbermixed |
The number of possible networks |
nwequal |
Test if the graphs of two networks are equal |
nwfsort |
Sorts a list of networks |
perturb |
Perturbs a network |
plot.network |
Bayesian network data structure |
plot.networkfamily |
Generates and learns all networks for a set of variables. |
plot.node |
Representation of nodes |
post |
Calculation of parameter posteriors for continuous node |
post0 |
Calculation of parameter posteriors for continuous node |
postc |
Calculation of parameter posteriors for continuous node |
postc0c |
Calculation of parameter posteriors for continuous node |
postcc |
Calculation of parameter posteriors for continuous node |
postdist |
Calculate point estimate of posterior parameters and create probability distribution |
postM |
Calculation of parameter posteriors for continuous node |
print.network |
Bayesian network data structure |
print.networkfamily |
Generates and learns all networks for a set of variables. |
print.node |
Representation of nodes |
prob |
Representation of nodes |
prob.network |
Bayesian network data structure |
prob.node |
Representation of nodes |
rats |
Weightloss of rats |
readnet |
Reads/saves .net file |
removearrow |
Adding/Turning/Removing arrows |
remover |
Insert/remove an arrow in network |
savenet |
Reads/saves .net file |
simulation |
Simulation of data sets with a given dependency structure |
turnarrow |
Adding/Turning/Removing arrows |
turnrandomarrow |
Adding/Turning/Removing random arrows |
udisclik |
Estimation of parameters in the local probability distributions |
unique.networkfamily |
Makes a network family unique. |