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:Adam Kapelner [aut, cre], Beau Walker [rev, dtc], Gabriel Mayer [fnd, dtc]

fastLogisticRegressionWrap_1.2.1.tar.gz
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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'))

Peer review:

Bug tracker:https://github.com/kapelner/fastlogisticregressionwrap/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

2.70 score 1 stars 2 scripts 210 downloads 10 exports 6 dependencies

Last updated 12 months agofrom:082e350cc0. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-win-x86_64ERROROct 08 2024
R-4.5-linux-x86_64ERROROct 08 2024
R-4.4-win-x86_64ERROROct 08 2024
R-4.4-mac-x86_64ERROROct 08 2024
R-4.4-mac-aarch64ERROROct 08 2024
R-4.3-win-x86_64ERROROct 08 2024
R-4.3-mac-x86_64ERROROct 08 2024
R-4.3-mac-aarch64ERROROct 08 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 pageTopics
Asymmetric Cost Explorerasymmetric_cost_explorer
Asymmetric Cost Explorerasymmetric_cost_explorer_cross_validated
Binary Confusion Table and Errorsconfusion_results
Compute Single Value of the Diagonal of a Symmetric Matrix's Inverseeigen_compute_single_entry_of_diagonal_matrix
A fast det(X) functioneigen_det
A fast solve(X) functioneigen_inv
A fast Xt [times] diag(w) [times] X functioneigen_Xt_times_diag_w_times_X
FastLR Wrapperfast_logistic_regression
Rapid Forward Stepwise Logistic Regressionfast_logistic_regression_stepwise_forward
A Wrapper for FastLRfastLogisticRegressionWrap
General Confusion Table and Errorsgeneral_confusion_results
FastLR Wrapper Predictionspredict.fast_logistic_regression
FastLR Wrapper Predictionspredict.fast_logistic_regression_stepwise
FastLR Wrapper Printprint.fast_logistic_regression
FastLR Wrapper Printprint.fast_logistic_regression_stepwise
FastLR Wrapper Summarysummary.fast_logistic_regression
FastLR Wrapper Summarysummary.fast_logistic_regression_stepwise