# Latent Factor Mixed Models

## Documentation for package ‘lfmm’ version 1.0

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

## Help Pages

lfmm-package | R package : Fast and Accurate statistical methods for adjusting confounding factors in association studies.
effect_size | Direct effect sizes estimated from latent factor models
example.data | Genetic and phenotypic data for Arabidopsis thaliana
glm_test | GLM tests with latent factor mixed models
lfmm | R package : Fast and Accurate statistical methods for adjusting confounding factors in association studies.
lfmm_lasso | LFMM least-squares estimates with lasso penalty (Sparse LFMM)
lfmm_ridge | LFMM least-squares estimates with ridge penalty
lfmm_sampler | LFMM generative data sampler
lfmm_test | Statistical tests with latent factor mixed models (linear models)
predict_lfmm | Predict polygenic scores from latent factor models
skin.exposure | Simulated (and real) methylation levels for sun exposed patient patients