Package: bartMachine 1.3.4.1
Adam Kapelner
bartMachine: Bayesian Additive Regression Trees
An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Authors:
bartMachine_1.3.4.1.tar.gz
bartMachine_1.3.4.1.tar.gz(r-4.5-noble)bartMachine_1.3.4.1.tar.gz(r-4.4-noble)
bartMachine_1.3.4.1.tgz(r-4.4-emscripten)bartMachine_1.3.4.1.tgz(r-4.3-emscripten)
bartMachine.pdf |bartMachine.html✨
bartMachine/json (API)
# Install 'bartMachine' in R: |
install.packages('bartMachine', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ankara - Benchmark_datasets
- automobile - Data concerning automobile prices.
- baseball - Benchmark_datasets
- boston - Benchmark_datasets
- compactiv - Benchmark_datasets
- ozone - Benchmark_datasets
- pole - Benchmark_datasets
- triazine - Benchmark_datasets
- wine.red - Benchmark_datasets
- wine.white - Benchmark_datasets
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:10b6438c70. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
Exports:bart_machine_get_posteriorbart_machine_num_coresbart_predict_for_test_databartMachinebartMachineArrbartMachineCVbuild_bart_machinebuild_bart_machine_cvcalc_credible_intervalscalc_prediction_intervalscheck_bart_error_assumptionscov_importance_testdummify_dataextract_raw_node_dataget_projection_weightsget_sigsqsget_var_counts_over_chainget_var_props_over_chaininteraction_investigatorinvestigate_var_importancek_fold_cvlinearity_testnode_prediction_training_data_indicespd_plotplot_convergence_diagnosticsplot_y_vs_yhatpredict_bartMachineArrrmse_by_num_treesset_bart_machine_num_coresvar_selection_by_permutevar_selection_by_permute_cv
Dependencies:bartMachineJARscodetoolsdigestdoRNGforeachiteratorsitertoolsmissForestrandomForestrJavarngtools