CRAN/E | CKLRT

CKLRT

Composite Kernel Machine Regression Based on Likelihood Ratio Test

Installation

About

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).)

Key Metrics

Version 0.2.3
R ≥ 3.1.0
Published 2018-09-13 2043 days ago
Needs compilation? yes
License GPL-3
CRAN checks CKLRT results

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Maintainer

Maintainer

Haoyu Zhang

andrew.haoyu@gmail.com

Authors

Ni Zhao

aut

Haoyu Zhang

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CKLRT archive

Depends

R ≥ 3.1.0

Imports

Rcpp ≥ 0.12.17
mgcv
MASS
nlme
compiler
stats

LinkingTo

RcppEigen
Rcpp