Package: fastLogisticRegressionWrap 1.2.1
Adam Kapelner
fastLogisticRegressionWrap: Fast Logistic Regression Wrapper
Provides very fast logistic regression with coefficient inferences plus other useful methods such as a forward stepwise model generator (see the benchmarks by visiting the github page at the URL below). The inputs are flexible enough to accomodate GPU computations. The coefficient estimation employs the fastLR() method in the 'RcppNumerical' package by Yixuan Qiu et al. This package allows their work to be more useful to a wider community that consumes inference.
Authors:
fastLogisticRegressionWrap_1.2.1.tar.gz
fastLogisticRegressionWrap_1.2.1.zip(r-4.5)fastLogisticRegressionWrap_1.2.1.zip(r-4.4)fastLogisticRegressionWrap_1.2.1.zip(r-4.3)
fastLogisticRegressionWrap_1.2.1.tgz(r-4.4-x86_64)fastLogisticRegressionWrap_1.2.1.tgz(r-4.4-arm64)fastLogisticRegressionWrap_1.2.1.tgz(r-4.3-x86_64)fastLogisticRegressionWrap_1.2.1.tgz(r-4.3-arm64)
fastLogisticRegressionWrap_1.2.1.tar.gz(r-4.5-noble)fastLogisticRegressionWrap_1.2.1.tar.gz(r-4.4-noble)
fastLogisticRegressionWrap_1.2.1.tgz(r-4.4-emscripten)fastLogisticRegressionWrap_1.2.1.tgz(r-4.3-emscripten)
fastLogisticRegressionWrap.pdf |fastLogisticRegressionWrap.html✨
fastLogisticRegressionWrap/json (API)
| # Install 'fastLogisticRegressionWrap' in R: |
| install.packages('fastLogisticRegressionWrap', repos = c('https://kapelner.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kapelner/fastlogisticregressionwrap/issues
Last updated 1 years agofrom:082e350cc0. Checks:OK: 1 ERROR: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | ERROR | Nov 07 2024 |
| R-4.5-linux-x86_64 | ERROR | Nov 07 2024 |
| R-4.4-win-x86_64 | ERROR | Nov 07 2024 |
| R-4.4-mac-x86_64 | ERROR | Nov 07 2024 |
| R-4.4-mac-aarch64 | ERROR | Nov 07 2024 |
| R-4.3-win-x86_64 | ERROR | Nov 07 2024 |
| R-4.3-mac-x86_64 | ERROR | Nov 07 2024 |
| R-4.3-mac-aarch64 | ERROR | Nov 07 2024 |
Exports:asymmetric_cost_explorerasymmetric_cost_explorer_cross_validatedconfusion_resultseigen_compute_single_entry_of_diagonal_matrixeigen_deteigen_inveigen_Xt_times_diag_w_times_Xfast_logistic_regressionfast_logistic_regression_stepwise_forwardgeneral_confusion_results
Dependencies:backportscheckmateMASSRcppRcppEigenRcppNumerical
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Asymmetric Cost Explorer | asymmetric_cost_explorer |
| Asymmetric Cost Explorer | asymmetric_cost_explorer_cross_validated |
| Binary Confusion Table and Errors | confusion_results |
| Compute Single Value of the Diagonal of a Symmetric Matrix's Inverse | eigen_compute_single_entry_of_diagonal_matrix |
| A fast det(X) function | eigen_det |
| A fast solve(X) function | eigen_inv |
| A fast Xt [times] diag(w) [times] X function | eigen_Xt_times_diag_w_times_X |
| FastLR Wrapper | fast_logistic_regression |
| Rapid Forward Stepwise Logistic Regression | fast_logistic_regression_stepwise_forward |
| A Wrapper for FastLR | fastLogisticRegressionWrap |
| General Confusion Table and Errors | general_confusion_results |
| FastLR Wrapper Predictions | predict.fast_logistic_regression |
| FastLR Wrapper Predictions | predict.fast_logistic_regression_stepwise |
| FastLR Wrapper Print | print.fast_logistic_regression |
| FastLR Wrapper Print | print.fast_logistic_regression_stepwise |
| FastLR Wrapper Summary | summary.fast_logistic_regression |
| FastLR Wrapper Summary | summary.fast_logistic_regression_stepwise |