hier_fun: Hierarchical prior density function as described in Gerard...

In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression

Description

Hierarchical prior density function as described in Gerard and Stephens (2021)

Usage

hier_fun(beta_mat, shape_param = 1, rate_param = 1, return_log = TRUE)

Arguments

beta_mat	A matrix. The rows are the coefficients of the difference covariates. The columns are the different genes.
shape_param	A positive numeric. The shape parameter for the gamma prior.
rate_param	A positive numeric. The rate parameter for the gamma prior.
return_log	A logical. Should we return the log-density ("TRUE") or the the density ("FALSE")?

Author(s)

David Gerard

References

• Gerard, David, and Matthew Stephens. 2021. "Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls." Statistica Sinica, 31(3), 1145-1166. doi: 10.5705/ss.202018.0345

dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.