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leapp  

Latent Effect Adjustment After Primary Projection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("leapp", "1.3")



Attach the package and use:
library("leapp")
Maintained by
Yunting Sun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-04-07
Latest Update: 2022-06-19
Description:
These functions take a gene expression value matrix, a primary covariate vector, an additional known covariates matrix. A two stage analysis is applied to counter the effects of latent variables on the rankings of hypotheses. The estimation and adjustment of latent effects are proposed by Sun, Zhang and Owen (2011). "leapp" is developed in the context of microarray experiments, but may be used as a general tool for high throughput data sets where dependence may be involved.
How to cite:
Yunting Sun (2012). leapp: Latent Effect Adjustment After Primary Projection. R package version 1.3, https://cran.r-project.org/web/packages/leapp. Accessed 31 Jan. 2025.
Previous versions and publish date:
1.0 (2012-04-07 06:53), 1.1 (2014-01-06 21:01), 1.2 (2014-07-22 08:52)
Other packages that cited leapp R package
View leapp citation profile
Other R packages that leapp depends, imports, suggests or enhances
Complete documentation for leapp
Functions, R codes and Examples using the leapp R package
Some associated functions: AlternateSVD . FindAUC . FindFpr . FindPrec . FindRec . FindTpr . IPOD . IPODFUN . Pvalue . ROCplot . leapp-package . leapp . ridge . simdat . 
Some associated R codes: leapp.R .  Full leapp package functions and examples
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