All functions

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.