example.data

<p>A dataset containing SNP frequency and simulated phenotypic data for 170 plant accessions.
The variables are as follows:</p>

datasets

Fast and accurate inference of
gene-environment associations (GEA) in genome-wide studies
(Caye et al., 2019, <doi:10.1093/molbev/msz008>).
We developed a least-squares estimation approach for confounder and effect sizes
estimation that provides a unique framework for several categories of genomic data,
not restricted to genotypes.
The speed of the new algorithm is several times faster than the existing GEA approaches,
then our previous version of the 'LFMM' program present in the 'LEA' package
(Frichot and Francois, 2015, <doi:10.1111/2041-210X.12382>).

Basile Jumentier

lfmm

Latent Factor Mixed Models

Kevin Caye

Olivier Fran<c3><a7>ois

example.data function

<p>A list with 4 arguments: genotype, phenotype, causal.set, chrpos</p>

example.data: Genetic and phenotypic data for Arabidopsis thaliana

Description

Usage

Arguments

Format

Details