dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression

Implements many methods for accounting for unobserved confounding in linear regression. If control genes are available, then the following methods are implementable: a calibrated version of CATE/RUV4 (vruv4), a Bayesian version of RUV (ruvb), a version of RUV that unifies other versions of RUV (ruv3), and a generalized version of RUV (ruvimpute). If control genes are not available, then MOUTHWASH (mouthwash) and BACKWASH (backwash) are excellent procedures to use as long as only one covariate is of interest.

Getting started

Package details

LicenseGPL (>= 3)
URL https://github.com/dcgerard/vicar
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
dcgerard/vicar documentation built on Nov. 29, 2018, 5:27 a.m.