Package: biClassify 1.3

biClassify: Binary Classification Using Extensions of Discriminant Analysis

Implements methods for sample size reduction within Linear and Quadratic Discriminant Analysis in Lapanowski and Gaynanova (2020) <arxiv:2005.03858>. Also includes methods for non-linear discriminant analysis with simultaneous sparse feature selection in Lapanowski and Gaynanova (2019) PMLR 89:1704-1713.

Authors:Alexander F. Lapanowski [aut, cre], Irina Gaynanova [aut]

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biClassify.pdf |biClassify.html
biClassify/json (API)

# Install 'biClassify' in R:
install.packages('biClassify', repos = c('https://aflapan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • KOS_Data - A list consisting of Training and Test data along with corresponding class labels.
  • LDA_Data - A list consisting of Training and Test data along with corresponding class labels.
  • QDA_Data - A list consisting of Training and Test data along with corresponding class labels.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 4 scripts 228 downloads 4 exports 22 dependencies

Last updated 3 years agofrom:4296b2fd39. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-win-x86_64WARNINGOct 23 2024
R-4.5-linux-x86_64WARNINGOct 23 2024
R-4.4-win-x86_64WARNINGOct 23 2024
R-4.4-mac-x86_64WARNINGOct 23 2024
R-4.4-mac-aarch64WARNINGOct 23 2024
R-4.3-win-x86_64WARNINGOct 23 2024
R-4.3-mac-x86_64WARNINGOct 23 2024
R-4.3-mac-aarch64WARNINGOct 23 2024

Exports:KOSLDAQDASelectParams

Dependencies:DAAGdeldirdotCall64expmfieldsinterpjpeglatticelatticeExtramapsMASSMatrixmvtnormpngrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackspamviridisLite

Introducing biClassify

Rendered frombiClassify.Rmdusingknitr::rmarkdownon Oct 23 2024.

Last update: 2021-12-06
Started: 2020-12-14