R: Testing Neighbor Effects in Marker-Based Regressions

# Testing Neighbor Effects in Marker-Based Regressions

## Documentation for package ‘rNeighborGWAS’ version 1.2.5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

calc_PVEnei | Calculating phenotypic variation explained by neighbor effects
delta_PVE | Estimating the effective scale of neighbor effects
gaston2neiGWAS | Convert 'gaston' package's bed.matrix data to rNeighborGWAS genotype data.
min_dist | Calculating the minimum distance
neiGWAS | Genome-wide association mapping of neighbor effects
nei_coval | Calculating neighbor genotypic identity
nei_lm | Standard linear models for testing self and neighbor effects
nei_lmm | Mixed models for testing self and neighbor effects
nei_simu | Simulating phenotypes with self and neighbor effects
qtl_pheno_simu | Simulating phenotype values with neighbor effects.
w | Calculating a distance decay weight