Package: biClassify 1.3

Alexander F. Lapanowski

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]

biClassify_1.3.tar.gz
biClassify_1.3.tar.gz(r-4.5-noble)biClassify_1.3.tar.gz(r-4.4-noble)
biClassify_1.3.tgz(r-4.4-emscripten)biClassify_1.3.tgz(r-4.3-emscripten)
biClassify.pdf |biClassify.html✨
biClassify/json (API)

# Install 'biClassify' in R:
install.packages('biClassify', repos = c('https://cran.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.

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 270 downloads 4 exports 22 dependencies

Last updated 3 years agofrom:4296b2fd39. Checks:OK: 1 WARNING: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-linux-x86_64WARNINGOct 08 2024

Exports:KOSLDAQDASelectParams

Dependencies:DAAGdeldirdotCall64expmfieldsinterpjpeglatticelatticeExtramapsMASSMatrixmvtnormpngrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackspamviridisLite

Introducing biClassify

Alexander F. Lapanowski and Irina Gaynanova

Rendered frombiClassify.Rmdusingknitr::rmarkdownon Oct 08 2024.

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