R: Multiple Regression with Multivariate Adaptive Shrinkage

# Multiple Regression with Multivariate Adaptive Shrinkage

## Documentation for package ‘mr.mashr’ version 0.3.44

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

## Help Pages

autoselect.mixsd | Compute a grid of standard deviations to scale the canonical covariance matrices.
coef.mr.mash | Extract coefficients from mr.mash fit.
coef.mr.mash.rss | Extract coefficients from mr.mash.rss fit.
compute_canonical_covs | Compute canonical covariance matrices.
compute_data_driven_covs | Compute data-driven covariance matrices.
compute_univariate_sumstats | Compute summary statistics from univariate simple linear regression.
expand_covs | Expand covariance matrices by a grid of variances for use in 'mr.mash'.
mr.mash | Multiple Regression with Multivariate Adaptive Shrinkage.
mr.mash.rss | Multiple Regression with Multivariate Adaptive Shrinkage from summary data.
predict.mr.mash | Predict future observations from mr.mash fit.
predict.mr.mash.rss | Predict future observations from mr.mash.rss fit.
simulate_mr_mash_data | Simulate data to test 'mr.mash'.