Package: kernda 1.0

Michail Tsagris

kernda: Kernel Discriminant Analysis

Functions to perform discriminant analysis using kernel density estimation. For the case of binary classification the package relies on the Nadaraya-Watson estimator. References: Wand M.P. and Jones M.C. (1995). "Kernel smoothing". CRC Press. <ISBN: 0412552701>.

Authors:Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]

kernda_1.0.tar.gz
kernda_1.0.tar.gz(r-4.7-arm64)kernda_1.0.tar.gz(r-4.7-x86_64)kernda_1.0.tar.gz(r-4.6-arm64)kernda_1.0.tar.gz(r-4.6-x86_64)
kernda_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
kernda/json (API)

# Install 'kernda' in R:
install.packages('kernda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.00 score 6 exports 95 dependencies

Last updated from:96cb0ba5ac. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK184
linux-devel-x86_64OK210
source / vignettesOK209
linux-release-arm64OK169
linux-release-x86_64OK179
wasm-releaseOK230

Exports:cv.kdedacv.lrkdekde_dalr.kdelr.kde2lr.kde3

Dependencies:base64encBHbigassertrbigparallelrbigstatsrbitbslibcachemclasscliclustercodetoolsCompositionalcowplotcpp11digestdoParallelemplikevaluatefarverfastmapffflockfontawesomeforeachfsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernregknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmdamemoisemimeminpack.lmmixturemnormtnnetnumDerivosqpparallellypillarpkgconfigpsquadprogquantregR6rangenrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRfastRfast2rglRhpcBLASctlrlangrmarkdownrmioRnanoflannRSpectraS7sassscalesshapesnSparseMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyamlzigg