Other packages > Find by keyword >

metadeconfoundR  

Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("metadeconfoundR", "1.0.2")



Attach the package and use:
library("metadeconfoundR")
Maintained by
Till Birkner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-25
Latest Update: 2024-06-25
Description:
Using non-parametric tests, naive associations between omics features and metadata in cross-sectional data-sets are detected. In a second step, confounding effects between metadata associated to the same omics feature are detected and labeled using nested post-hoc model comparison tests, as first described in Forslund, Chakaroun, Zimmermann-Kogadeeva, et al. (2021) <doi:10.1038/s41586-021-04177-9>. The generated output can be graphically summarized using the built-in plotting function.
How to cite:
Till Birkner (2024). metadeconfoundR: Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data. R package version 1.0.2, https://cran.r-project.org/web/packages/metadeconfoundR. Accessed 06 Jan. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited metadeconfoundR R package
View metadeconfoundR citation profile
Other R packages that metadeconfoundR depends, imports, suggests or enhances
Complete documentation for metadeconfoundR
Functions, R codes and Examples using the metadeconfoundR R package
Full metadeconfoundR package functions and examples
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

ROI.plugin.deoptim  
'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization Interface
Enhances the R Optimization Infrastructure ('ROI') package with the 'DEoptim' and 'DEoptimR' packag ...
Download / Learn more Package Citations See dependency  
mlr3fairness  
Fairness Auditing and Debiasing for 'mlr3'
Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem. This includes ...
Download / Learn more Package Citations See dependency  
TBFmultinomial  
TBF Methodology Extension for Multinomial Outcomes
Extends the test-based Bayes factor (TBF) methodology to multinomial regression models and discrete ...
Download / Learn more Package Citations See dependency  
lmds  
Landmark Multi-Dimensional Scaling
A fast dimensionality reduction method scaleable to large numbers of samples. Landmark Multi-Dime ...
Download / Learn more Package Citations See dependency  
NetSwan  
Network Strengths and Weaknesses Analysis
A set of functions for studying network robustness, resilience and vulnerability. ...
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  

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