A C D E F G H I L N O P R S T Z
alg_input_data_frame | Messages |
as.data.frame.sparsebnData | Convert a sparsebnData object back to a data.frame |
as.edgeList | as.edgeList |
as.sparse | as.sparse |
auto_count_levels | Utility functions |
auto_generate_levels | Utility functions |
capitalize | Utility functions |
check_if_complete_data | Utility functions |
check_if_data_matrix | Utility functions |
check_if_matrix | Utility functions |
check_if_numeric_data | Utility functions |
check_list_class | Utility functions |
check_list_names | Utility functions |
check_list_numeric | Utility functions |
check_na | Utility functions |
check_null | Utility functions |
coerce_discrete | Recode discrete data |
coerce_discrete.character | Recode discrete data |
coerce_discrete.data.frame | Recode discrete data |
coerce_discrete.factor | Recode discrete data |
coerce_discrete.integer | Recode discrete data |
coerce_discrete.numeric | Recode discrete data |
coerce_discrete.sparsebnData | Recode discrete data |
col_classes | Utility functions |
convert_factor_to_discrete | Utility functions |
cor_vector_ivn | Utility functions |
count.interventions | Count the number of rows under intervention |
count.levels | Count the number of levels per variable |
count_nas | Utility functions |
dag_summary | Messages |
data_not_numeric | Messages |
default_alpha | Utility functions |
default_max_iters | Utility functions |
degrees | Degree distribution of a graph |
edgeList | edgeList class |
empty_dag_summary | Messages |
estimate.parameters | Estimate the parameters of a Bayesian network |
feature_not_supported | Messages |
fit_glm_dag | Inference in Bayesian networks |
fit_multinom_dag | Inference in discrete Bayesian networks |
generate.lambdas | generate.lambdas |
get.adjacency.matrix | get.adjacency.matrix |
get.adjacency.matrix.edgeList | get.adjacency.matrix |
get.adjacency.matrix.sparsebnFit | get.adjacency.matrix |
get.adjacency.matrix.sparsebnPath | get.adjacency.matrix |
get.covariance | Covariance and precision matrices |
get.lambdas | get.lambdas |
get.lambdas.sparsebnPath | get.lambdas |
get.nodes | get.nodes |
get.nodes.sparsebnFit | get.nodes |
get.nodes.sparsebnPath | get.nodes |
get.precision | Covariance and precision matrices |
get.solution | Select solutions from a solution path |
getGraphPackage | Change data structure for representing graphs internally |
getPlotPackage | Change default plotting mechanism |
global_coerce_warning | Messages |
has_missing_values | Messages |
input_not_sparsebnData | Messages |
invalid_class | Messages |
invalid_pkg_specification | Messages |
invalid_type_input | Messages |
is.edgeList | edgeList class |
is.obs | Check if data is observational |
is.sparse | sparse class |
is.sparsebnData | sparsebnData class |
is.sparsebnFit | sparsebnFit class |
is.sparsebnPath | sparsebnPath class |
is.zero | is.zero |
is.zero.edgeList | is.zero |
list_classes | Utility functions |
num.edges | num.edges |
num.edges.edgeList | num.edges |
num.edges.sparsebnFit | num.edges |
num.edges.sparsebnPath | num.edges |
num.nodes | num.nodes |
num.nodes.edgeList | num.nodes |
num.nodes.sparsebnFit | num.nodes |
num.nodes.sparsebnPath | num.nodes |
num.samples | num.samples |
num.samples.sparsebnData | num.samples |
num.samples.sparsebnFit | num.samples |
num.samples.sparsebnPath | num.samples |
openCytoscape | Display graphs in Cytoscape |
permute.nodes | Permute the order of nodes in a graph |
pick_family | Utility functions |
pkg_not_installed | Messages |
plot.edgeList | Plot a fitted Bayesian network object |
plot.sparsebnData | sparsebnData class |
plot.sparsebnFit | sparsebnFit class |
plot.sparsebnPath | sparsebnPath class |
pmatch_numeric | Utility functions |
print.edgeList | edgeList class |
print.sparsebnData | sparsebnData class |
print.sparsebnFit | sparsebnFit class |
print.sparsebnPath | sparsebnPath class |
random.dag | Generate random DAGs |
random.graph | Generate random DAGs |
random.spd | Generate a random positive definite matrix |
recode_levels | Utility functions |
reIndexC | Utility functions |
reIndexR | Utility functions |
resetGraphPackage | Change data structure for representing graphs internally |
select | Select solutions from a solution path |
select.parameter | Tuning parameter selection |
setGraphPackage | Change data structure for representing graphs internally |
setPlotPackage | Change default plotting mechanism |
show.parents | Inspect subgraph |
sparse | sparse class |
sparsebn-compat | Conversion between graph types |
sparsebn-functions | Utility functions |
sparsebn-messages | Messages |
sparsebnData | sparsebnData class |
sparsebnData.data.frame | sparsebnData class |
sparsebnData.matrix | sparsebnData class |
sparsebnFit | sparsebnFit class |
sparsebnPath | sparsebnPath class |
sparsebnUtils | sparsebnUtils: Utilities for the sparsebn package. |
specify.prior | Build a black list based on prior knowledge |
summary.edgeList | edgeList class |
summary.sparsebnData | sparsebnData class |
summary.sparsebnFit | sparsebnFit class |
summary.sparsebnPath | sparsebnPath class |
to_bn | Conversion between graph types |
to_edgeList | Conversion to edgeList object |
to_edgeList.sparsebnFit | Conversion to edgeList object |
to_graphNEL | Conversion between graph types |
to_igraph | Conversion between graph types |
to_network | Conversion between graph types |
zero_threshold | Utility functions |