# Penalized Linear Mixed Models for Correlated Data

## Documentation for package ‘plmmr’ version 4.3.0

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

## Help Pages

admix | Admix: Semi-simulated SNP data
coef.cv_plmm | Coef method for 'cv_plmm' class
coef.plmm | Coef method for 'plmm' class
create_design | A function to create a design for PLMM modeling
cv_plmm | Cross-validation for plmm
find_example_data | A function to help with accessing example PLINK files.
plmm | Fit a linear mixed model via penalized maximum likelihood.
plmm_loss | Loss method for 'plmm' class
plot.cv_plmm | Plot method for 'cv_plmm' class
plot.plmm | Plot method for 'plmm' class
predict.cv_plmm | Predict method for 'cv_plmm' class
predict.plmm | Predict method for 'plmm' class
print.summary.cv_plmm | Print method for 'summary.cv_plmm' objects
print.summary.plmm | A function to print the summary of a 'plmm' model
process_delim | A function to read in large data files as a filebacked 'big.matrix'
process_plink | Preprocess PLINK files using the 'bigsnpr' package
relatedness_mat | Calculate a relatedness matrix
summary.cv_plmm | A summary function for 'cv_plmm' objects
summary.plmm | A summary method for 'plmm' objects
unzip_example_data | Companion function to unzip the '.gz' files that ship with the 'plmmr' package.