Package: kernreg 1.0

Michail Tsagris

kernreg: Nadaraya-Watson Kernel Regression

Fast implementation of Nadaraya-Watson kernel regression for either univariate or multivariate responses, with one or more bandwidths. K-fold cross-validation is also performed.

Authors:Michail Tsagris [aut, cre], Christos Adam [aut]

kernreg_1.0.tar.gz
kernreg_1.0.tar.gz(r-4.7-arm64)kernreg_1.0.tar.gz(r-4.7-x86_64)kernreg_1.0.tar.gz(r-4.6-arm64)kernreg_1.0.tar.gz(r-4.6-x86_64)
kernreg_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
kernreg/json (API)

# Install 'kernreg' in R:
install.packages('kernreg', 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 168 downloads 2 exports 8 dependencies

Last updated from:0447a5d7c5. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK132
source / vignettesOK187
linux-release-arm64OK179
linux-release-x86_64OK140
wasm-releaseOK120

Exports:kern_regkernreg.tune

Dependencies:BHRcppRcppArmadilloRcppParallelRfastRfast2Rnanoflannzigg