Other packages > Find by keyword >

ruv  

Detect and Remove Unwanted Variation using Negative Controls
View on CRAN: Click here


Download and install ruv package within the R console
Install from CRAN:
install.packages("ruv")

Install from Github:
library("remotes")
install_github("cran/ruv")

Install by package version:
library("remotes")
install_version("ruv", "0.9.7.1")



Attach the package and use:
library("ruv")
Maintained by
Johann Gagnon-Bartsch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-24
Latest Update: 2019-08-30
Description:
Implements the 'RUV' (Remove Unwanted Variation) algorithms. These algorithms attempt to adjust for systematic errors of unknown origin in high-dimensional data. The algorithms were originally developed for use with genomic data, especially microarray data, but may be useful with other types of high-dimensional data as well. These algorithms were proposed in Gagnon-Bartsch and Speed (2012) , Gagnon-Bartsch, Jacob and Speed (2013), and Molania, et. al. (2019) . The algorithms require the user to specify a set of negative control variables, as described in the references. The algorithms included in this package are 'RUV-2', 'RUV-4', 'RUV-inv', 'RUV-rinv', 'RUV-I', and RUV-III', along with various supporting algorithms.
How to cite:
Johann Gagnon-Bartsch (2014). ruv: Detect and Remove Unwanted Variation using Negative Controls. R package version 0.9.7.1, https://cran.r-project.org/web/packages/ruv. Accessed 05 Jan. 2025.
Previous versions and publish date:
0.9.4 (2014-10-24 13:55), 0.9.5 (2015-05-20 14:15), 0.9.6 (2015-07-18 17:00), 0.9.7 (2018-03-12 20:19)
Other packages that cited ruv R package
View ruv citation profile
Other R packages that ruv depends, imports, suggests or enhances
Complete documentation for ruv
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

uclust  
Clustering and Classification Inference with U-Statistics
Clustering and classification inference for high dimension low sample size (HDLSS) data with U-stati ...
Download / Learn more Package Citations See dependency  
ENMeval  
Automated Tuning and Evaluations of Ecological Niche Models
Runs ecological niche models over all combinations of user-defined settings (i.e., tuning), performs ...
Download / Learn more Package Citations See dependency  
interplot  
Plot the Effects of Variables in Interaction Terms
Plots the conditional coefficients ("marginal effects") of variables included in multiplicative int ...
Download / Learn more Package Citations See dependency  
Maintainer: Yue Hu (view profile)
bama  
High Dimensional Bayesian Mediation Analysis
Perform mediation analysis in the presence of high-dimensional mediators based on the potential out ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
GFisher  
Generalized Fisher's Combination Tests Under Dependence
Accurate and computationally efficient p-value calculation methods for a general family of Fisher ty ...
Download / Learn more Package Citations See dependency  

23,440

R Packages

202,297

Dependencies

63,567

Author Associations

23,434

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA