Package: rvflnet 0.1.0

T. Moudiki

rvflnet: Random Vector Functional Link Networks with glmnet Backend

Implements Random Vector Functional Link (RVFL) networks using glmnet for elastic-net regularized output layer training. Supports Gaussian, uniform, and Sobol random projections with various activation functions.

Authors:T. Moudiki [aut, cre]

rvflnet_0.1.0.tar.gz
rvflnet_0.1.0.zip(r-4.7)rvflnet_0.1.0.zip(r-4.6)rvflnet_0.1.0.zip(r-4.5)
rvflnet_0.1.0.tgz(r-4.6-any)rvflnet_0.1.0.tgz(r-4.5-any)
rvflnet_0.1.0.tar.gz(r-4.7-any)rvflnet_0.1.0.tar.gz(r-4.6-any)
rvflnet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rvflnet/json (API)

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

Bug tracker:https://github.com/thierrymoudiki/rvflnet/issues

On CRAN:

Conda:

3.18 score 6 scripts 22 exports 12 dependencies

Last updated from:e353a0e6cb. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK122
source / vignettesOK191
linux-release-x86_64OK133
macos-release-arm64OK76
macos-oldrel-arm64OK86
windows-develOK95
windows-releaseOK134
windows-oldrelOK92
wasm-releaseOK107

Exports:best_lambdacoef.cv.rvflnetcoef.rvflnetcv.rvflnetfitted.cv.rvflnetfitted.rvflnetget_activationget_weight_typeis.cv.rvflnetis.rvflnetn_hiddenplot.cv.rvflnetplot.rvflnetpredict.cv.rvflnetpredict.rvflnetprint.cv.rvflnetprint.rvflnetresiduals.cv.rvflnetresiduals.rvflnetrvflnetsummary.cv.rvflnetsummary.rvflnet

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixrandtoolboxRcppRcppEigenrngWELLshapesurvival

RVFLnet model

Rendered fromrvflnet.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-04-20
Started: 2026-04-20

RVFLnet model Cox

Rendered fromrvflnet_cox.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-04-22
Started: 2026-04-20

RVFLnet model cross-validation

Rendered fromcv_rvflnet.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-04-20
Started: 2026-04-20