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RKHSMetaMod
View on CRAN: Click
here
Download and install RKHSMetaMod package within the R console
Install from CRAN:
install.packages("RKHSMetaMod")
Install from Github:
library("remotes")
install_github("cran/RKHSMetaMod") Install by package version:
library("remotes")
install_version("RKHSMetaMod", "1.1") Attach the package and use:
library("RKHSMetaMod")
Maintained by
Halaleh Kamari
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-03
Latest Update: 2019-07-06
Description:
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) ).
How to cite:
Halaleh Kamari (2019). RKHSMetaMod: Ridge Group Sparse Optimization Problem for Estimation of a Meta Model Based on Reproducing Kernel Hilbert Spaces. R package version 1.1, https://cran.r-project.org/web/packages/RKHSMetaMod. Accessed 05 Mar. 2026.
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Complete documentation for RKHSMetaMod
Functions, R codes and Examples using
the RKHSMetaMod R package
Some associated functions: EmSI . MetaModel . MetaModel_qmax . PredictionError . RKHSMetaMod-package . calc_q_function . fct_kv_EvaluesQ . group_lasso_function . mumax . penMetaMod_mu_gamma .
Some associated R codes: EmSI.R . RcppExports.R . Full RKHSMetaMod package functions and examples
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