bnclassify-package |
Learn discrete Bayesian network classifiers from data. |
accuracy |
Compute predictive accuracy. |
AIC.bnc_bn |
Compute (penalized) log-likelihood. |
aode |
Learn an AODE ensemble. |
as_grain |
Convert to igraph and gRain. |
as_igraph |
Convert to igraph and gRain. |
as_mlr |
Convert to 'mlr'. |
awnb_weights |
Inspect a Bayesian network classifier (with structure and parameters). |
BIC.bnc_bn |
Compute (penalized) log-likelihood. |
bnc |
Learn network structure and parameters. |
bnclassify |
Learn discrete Bayesian network classifiers from data. |
bnc_bn |
Bayesian network classifier with structure and parameters. |
bnc_dag |
Bayesian network classifier structure. |
bsej |
Learn Bayesian network classifiers in a a greedy wrapper fashion. |
car |
Car Evaluation Data Set. |
classes |
Inspect a Bayesian network classifier (with structure and parameters). |
class_var |
Inspect a Bayesian network classifier structure. |
cLogLik |
Compute (penalized) log-likelihood. |
cmi |
Compute the (conditional) mutual information between two variables. |
cv |
Estimate predictive accuracy with stratified cross validation. |
families |
Inspect a Bayesian network classifier structure. |
features |
Inspect a Bayesian network classifier structure. |
feature_families |
Inspect a Bayesian network classifier structure. |
fssj |
Learn Bayesian network classifiers in a a greedy wrapper fashion. |
grain_and_graph |
Convert to igraph and gRain. |
greedy_wrapper |
Learn Bayesian network classifiers in a a greedy wrapper fashion. |
inspect_bnc_bn |
Inspect a Bayesian network classifier (with structure and parameters). |
inspect_bnc_dag |
Inspect a Bayesian network classifier structure. |
is_anb |
Inspect a Bayesian network classifier structure. |
is_nb |
Inspect a Bayesian network classifier structure. |
is_ode |
Inspect a Bayesian network classifier structure. |
is_semi_naive |
Inspect a Bayesian network classifier structure. |
kdb |
Learn Bayesian network classifiers in a a greedy wrapper fashion. |
learn_params |
Learn the parameters of a Bayesian network structure. |
loglik |
Compute (penalized) log-likelihood. |
logLik.bnc_bn |
Compute (penalized) log-likelihood. |
lp |
Learn the parameters of a Bayesian network structure. |
manb_arc_posterior |
Inspect a Bayesian network classifier (with structure and parameters). |
modelstring |
Inspect a Bayesian network classifier structure. |
narcs |
Inspect a Bayesian network classifier structure. |
nb |
Learn a naive Bayes network structure. |
nparams |
Inspect a Bayesian network classifier (with structure and parameters). |
params |
Inspect a Bayesian network classifier (with structure and parameters). |
plot.bnc_dag |
Plot the structure. |
predict.bnc_fit |
Predicts class labels or class posterior probability distributions. |
tan_chowliu |
Learns a one-dependence estimator using Chow-Liu's algorithm. |
tan_cl |
Learns a one-dependence estimator using Chow-Liu's algorithm. |
tan_hc |
Learn Bayesian network classifiers in a a greedy wrapper fashion. |
tan_hcsp |
Learn Bayesian network classifiers in a a greedy wrapper fashion. |
values |
Inspect a Bayesian network classifier (with structure and parameters). |
vars |
Inspect a Bayesian network classifier structure. |
voting |
Congress Voting Data Set. |