Package: CVEK
Title: Cross-Validated Kernel Ensemble
Version: 0.1-2
Date: 2020-11-27
Authors@R: c(person("Wenying", "Deng", role = c("aut", "cre"),
                     email = "wdeng@g.harvard.edu"),
              person("Jeremiah Zhe", "Liu", role = c("ctb")))
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) <arXiv:1710.01406> and 
  Wenying et al. (2018) <arXiv:1811.11025>). 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.
Depends: R (>= 3.6.0), MASS, limSolve
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown, ggplot2, ggrepel
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-28 04:23:15 UTC; irisdeng
Author: Wenying Deng [aut, cre],
  Jeremiah Zhe Liu [ctb]
Maintainer: Wenying Deng <wdeng@g.harvard.edu>
Repository: CRAN
Date/Publication: 2020-12-18 16:10:18 UTC
Built: R 4.0.2; ; 2020-12-19 11:25:55 UTC; unix
