Package: RKHSMetaMod 1.1

Halaleh Kamari

RKHSMetaMod: Ridge Group Sparse Optimization Problem for Estimation of a Meta Model Based on Reproducing Kernel Hilbert Spaces

Estimates the Hoeffding decomposition of an unknown function by solving ridge group sparse optimization problem based on reproducing kernel Hilbert spaces, and approximates its sensitivity indices (see Kamari, H., Huet, S. and Taupin, M.-L. (2019) <arxiv:1905.13695>).

Authors:Halaleh Kamari

RKHSMetaMod_1.1.tar.gz
RKHSMetaMod_1.1.tar.gz(r-4.5-noble)RKHSMetaMod_1.1.tar.gz(r-4.4-noble)
RKHSMetaMod_1.1.tgz(r-4.4-emscripten)RKHSMetaMod_1.1.tgz(r-4.3-emscripten)
RKHSMetaMod.pdf |RKHSMetaMod.html
RKHSMetaMod/json (API)

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

On CRAN:

Conda-Forge:

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

gslcpp

1.00 score 152 downloads 9 exports 3 dependencies

Last updated 6 years agofrom:ac09bd133e. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-linux-x86_64OKMar 03 2025

Exports:calc_Kvgrplasso_qmu_maxpen_MetModPredErrRKHSgrplassoRKHSMetModRKHSMetMod_qmaxSI_emp

Dependencies:RcppRcppEigenRcppGSL