Utilities for Learning Sparse Bayesian Networks
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Documentation for package ‘sparsebnUtils’ version 0.0.8
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A C D E F G H I L N O P R S T Z
-- A --
| 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 |
-- C --
| 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 |
-- D --
| dag_summary | Messages |
| data_not_numeric | Messages |
| default_alpha | Utility functions |
| default_max_iters | Utility functions |
| degrees | Degree distribution of a graph |
-- E --
| edgeList | edgeList class |
| empty_dag_summary | Messages |
| estimate.parameters | Estimate the parameters of a Bayesian network |
-- F --
| feature_not_supported | Messages |
| fit_glm_dag | Inference in Bayesian networks |
| fit_multinom_dag | Inference in discrete Bayesian networks |
-- G --
| 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 |
-- H --
| has_missing_values | Messages |
-- I --
| 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 |
-- L --
| list_classes | Utility functions |
-- N --
| 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 |
-- O --
| openCytoscape | Display graphs in Cytoscape |
-- P --
| 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 |
-- R --
| 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 |
-- S --
| 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 |
-- T --
| 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 |
-- Z --
| zero_threshold | Utility functions |