Package: CKLRT 0.2.3

CKLRT: Composite Kernel Machine Regression Based on Likelihood Ratio Test

Composite Kernel Machine Regression based on Likelihood Ratio Test (CKLRT): in this package, we develop a kernel machine regression framework to model the overall genetic effect of a SNP-set, considering the possible GE interaction. Specifically, we use a composite kernel to specify the overall genetic effect via a nonparametric function and we model additional covariates parametrically within the regression framework. The composite kernel is constructed as a weighted average of two kernels, one corresponding to the genetic main effect and one corresponding to the GE interaction effect. We propose a likelihood ratio test (LRT) and a restricted likelihood ratio test (RLRT) for statistical significance. We derive a Monte Carlo approach for the finite sample distributions of LRT and RLRT statistics. (N. Zhao, H. Zhang, J. Clark, A. Maity, M. Wu. Composite Kernel Machine Regression based on Likelihood Ratio Test with Application for Combined Genetic and Gene-environment Interaction Effect (Submitted).)

Authors:Ni Zhao [aut], Haoyu Zhang [aut, cre]

CKLRT_0.2.3.tar.gz
CKLRT_0.2.3.zip(r-4.5)CKLRT_0.2.3.zip(r-4.4)CKLRT_0.2.3.zip(r-4.3)
CKLRT_0.2.3.tgz(r-4.4-x86_64)CKLRT_0.2.3.tgz(r-4.4-arm64)CKLRT_0.2.3.tgz(r-4.3-x86_64)CKLRT_0.2.3.tgz(r-4.3-arm64)
CKLRT_0.2.3.tar.gz(r-4.5-noble)CKLRT_0.2.3.tar.gz(r-4.4-noble)
CKLRT_0.2.3.tgz(r-4.4-emscripten)CKLRT_0.2.3.tgz(r-4.3-emscripten)
CKLRT.pdf |CKLRT.html
CKLRT/json (API)

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

Peer review:

Bug tracker:https://github.com/andrewhaoyu/cklrt/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

2.70 score 1 stars 3 scripts 159 downloads 2 exports 7 dependencies

Last updated 6 years agofrom:505a9069d2. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64OKNov 05 2024
R-4.5-linux-x86_64OKNov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64OKNov 05 2024
R-4.4-mac-aarch64OKNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64OKNov 05 2024
R-4.3-mac-aarch64OKNov 05 2024

Exports:omniLRT_fastomniRLRT_fast

Dependencies:latticeMASSMatrixmgcvnlmeRcppRcppEigen