Other packages > Find by keyword >

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 07 Mar. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

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