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jdblischak/r-vicar

r-vicar

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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.

Installation

To install this package, run one of the following:

Conda
$conda install jdblischak::r-vicar

Usage Tracking

0.1_9
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Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

Nov 26, 2018 at 18:56

License

GPL (>= 3)

Total Downloads

36

Supported Platforms

linux-64

Home

https://github.com/dcgerard/vicar