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CVEK  

Cross-Validated Kernel Ensemble
View on CRAN: Click here


Download and install CVEK package within the R console
Install from CRAN:
install.packages("CVEK")

Install from Github:
library("remotes")
install_github("cran/CVEK")

Install by package version:
library("remotes")
install_version("CVEK", "0.1-2")



Attach the package and use:
library("CVEK")
Maintained by
Wenying Deng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-23
Latest Update: 2020-12-18
Description:
Implementation of Cross-Validated Kernel Ensemble (CVEK), a flexible modeling framework for robust nonlinear regression and hypothesis testing based on ensemble learning with kernel-ridge estimators (Jeremiah et al. (2017) and Wenying et al. (2018) ). It allows user to conduct nonlinear regression with minimal assumption on the function form by aggregating nonlinear models generated from a diverse collection of kernel families. It also provides utilities to test for the estimated nonlinear effect under this ensemble estimator, using either the asymptotic or the bootstrap version of a generalized score test.
How to cite:
Wenying Deng (2020). CVEK: Cross-Validated Kernel Ensemble. R package version 0.1-2, https://cran.r-project.org/web/packages/CVEK. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1-0 (2020-11-23 11:00), 0.1-1 (2020-11-25 08:30), 0.1-2 (2020-12-18 17:10)
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