8. Kernel Ridge mixed model (HPC Linux)

R function which solves kernel Ridge within the mixed model framework

Brought to you by: ljacquin

Add a Review

Downloads: 0 This Week

Last Update: 2016-07-09

Browse Code

Add to Preferred Sources

A simple and user-friendly R function (HPC Linux clusters version) which allows users to perform RR-BLUP, GBLUP and RKHS regression with a Gaussian, Laplacian, polynomial or ANOVA kernel

Project Activity

See All Activity >

Follow 8. Kernel Ridge mixed model (HPC Linux)

8. Kernel Ridge mixed model (HPC Linux) Web Site

Other Useful Business Software

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Rate This Project

User Reviews

Be the first to post a review of 8. Kernel Ridge mixed model (HPC Linux)!

Additional Project Details

Registered

2016-02-26

Report inappropriate content

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Recommended Projects

JStats
JStats is a Java application/applet for statistical testing.
WSL2-Linux-Kernel
The source for the Linux kernel used in Windows Subsystem for Linux 2
KMBOX - Kernel Methods Toolbox
A collection of kernel-based algorithms for Matlab.
Linux Kernel
Linux Kernel source tree
ABILITY Kernel
ABILITY kernel based from linux kernel