Other packages > Find by keyword >

mi4p  

Multiple Imputation for Proteomics
View on CRAN: Click here


Download and install mi4p package within the R console
Install from CRAN:
install.packages("mi4p")

Install from Github:
library("remotes")
install_github("cran/mi4p")

Install by package version:
library("remotes")
install_version("mi4p", "1.3")



Attach the package and use:
library("mi4p")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-19
Latest Update: 2024-10-02
Description:
A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) . It is dedicated to dealing with multiple imputation for proteomics.
How to cite:
Frederic Bertrand (2021). mi4p: Multiple Imputation for Proteomics. R package version 1.3, https://cran.r-project.org/web/packages/mi4p. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.7 (2021-08-19 11:40), 0.8 (2022-03-15 01:40), 0.9 (2022-03-23 21:30), 1.0 (2022-06-13 08:50), 1.1 (2023-03-23 12:00), 1.2 (2024-10-03 00:40)
Other packages that cited mi4p R package
View mi4p citation profile
Other R packages that mi4p depends, imports, suggests or enhances
Complete documentation for mi4p
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
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  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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