Other packages > Find by keyword >

bnclassify  

Learning Discrete Bayesian Network Classifiers from Data
View on CRAN: Click here


Download and install bnclassify package within the R console
Install from CRAN:
install.packages("bnclassify")

Install from Github:
library("remotes")
install_github("cran/bnclassify")

Install by package version:
library("remotes")
install_version("bnclassify", "0.4.8")



Attach the package and use:
library("bnclassify")
Maintained by
Mihaljevic Bojan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-30
Latest Update: 2022-11-16
Description:
State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) , with functions for prediction, model evaluation and inspection.
How to cite:
Mihaljevic Bojan (2015). bnclassify: Learning Discrete Bayesian Network Classifiers from Data. R package version 0.4.8, https://cran.r-project.org/web/packages/bnclassify. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.3.0 (2015-07-30 11:27), 0.3.1 (2015-10-29 15:19), 0.3.2 (2015-11-19 11:02), 0.3.3 (2017-09-06 19:29), 0.3.4 (2018-01-13 01:32), 0.4.0 (2018-05-08 15:51), 0.4.1 (2018-07-25 11:50), 0.4.2 (2019-03-14 14:33), 0.4.3 (2019-11-30 02:20), 0.4.4 (2020-01-20 20:20), 0.4.5 (2020-03-12 18:40), 0.4.6 (2021-10-30 01:10), 0.4.7 (2022-11-16 13:11)
Other packages that cited bnclassify R package
View bnclassify citation profile
Other R packages that bnclassify depends, imports, suggests or enhances
Complete documentation for bnclassify
Functions, R codes and Examples using the bnclassify R package
Some associated functions: accuracy . aode . are_factors . are_pdists . as_mlr . augment_kdb . augment_kdb_arcs . augment_ode . augment_ode_arcs . bnc . bnc_aode . bnc_aode_bns . bnc_bn . bnc_dag . bnclassify . bootstrap_ss . car . check_mlr_attached . cmi . cmi_table . complete_graph . compute_cll . compute_ll . compute_wanbia_weights . cpt_vars_values . cv . dag . direct_forest . direct_tree . extract_ctgt . fast_equal . forget . get_ancestors . get_but_last . get_last . get_log_leaf_entries . get_null_safe . grain_and_graph . graph_add_edges . graph_connected_components . graph_get_adjacent . graph_is_adjacent . graph_named_edge_matrix . graph_subgraph . graph_union . greedy_wrapper . identify_all_testing_depths . identify_min_testing_depths . inspect_bnc_bn . inspect_bnc_dag . is.memoised . is_aode . learn_params . learn_unprunned_tree . local_ode_score_contrib . log_normalize . loglik . makeRLearner.bnc . make_cll . make_cll_gradient . map . max_weight_forest . memoise_char . named_edge_matrix . nb . nb_dag . new_cache . order_acyclic . plot.bnc_dag . predict.bnc_fit . predictLearner.bnc . print.bnc_base . skip_assert . skip_testing . spode . subset_by_colnames . superparent_children . tan_chowliu . trainLearner.bnc . voting . 
Some associated R codes: 0bnclassify-doc.R . RcppExports.R . anb-bn-operate.R . anb-bn.R . anb-cpts.R . anb-dag.R . anb-families.R . anb-internal.R . basic-assert.R . basic-misc.R . basic-probs.R . bnc-dag-operate.R . bncs.R . cv-update.R . cv.R . data-input.R . data-statistics.R . frontend-dag.R . infer.R . learn-chowliu.R . learn-hc-operators.R . learn-hc.R . learn-params-awnb.R . learn-params-manb.R . learn-params-wanbia.R . learn-params.R . learn-struct.R . memoise.R . predict.R . release.R . wrap-gRain.R . wrap-graph.R . wrap-mlr.R . wrap-rpart.R .  Full bnclassify package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
SMR  
Externally Studentized Midrange Distribution
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers. ...
Download / Learn more Package Citations See dependency  
sgof  
Multiple Hypothesis Testing
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency  
metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency  
cmce  
Computer Model Calibration for Deterministic and Stochastic Simulators
Implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency  
predictoR  
Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,057

Dependencies

64,101

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA