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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.

Installers

  • linux-64 v0.1_9

conda install

To install this package run one of the following:
conda install jdblischak::r-vicar

Description


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