Other packages > Find by keyword >

missMethods  

Methods for Missing Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("missMethods", "0.4.0")



Attach the package and use:
library("missMethods")
Maintained by
Tobias Rockel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-01
Latest Update: 2022-09-16
Description:
Supply functions for the creation and handling of missing data as well as tools to evaluate missing data methods. Nearly all possibilities of generating missing data discussed by Santos et al. (2019) and some additional are implemented. Functions are supplied to compare parameter estimates and imputed values to true values to evaluate missing data methods. Evaluations of these types are done, for example, by Cetin-Berber et al. (2019) and Kim et al. (2005) .
How to cite:
Tobias Rockel (2020). missMethods: Methods for Missing Data. R package version 0.4.0, https://cran.r-project.org/web/packages/missMethods. Accessed 13 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-04-01 11:30), 0.2.0 (2020-07-30 18:10), 0.3.0 (2022-02-10 17:20)
Other packages that cited missMethods R package
View missMethods citation profile
Other R packages that missMethods depends, imports, suggests or enhances
Complete documentation for missMethods
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

MicroDatosEs  
Utilities for Official Spanish Microdata
Provides utilities for reading and processing microdata from Spanish official statistics with R. ...
Download / Learn more Package Citations See dependency  
snowfall  
Easier Cluster Computing (Based on 'snow')
Usability wrapper around snow for easier development of parallel R programs. This package offers e.g ...
Download / Learn more Package Citations See dependency  
RGAN  
Generative Adversarial Nets (GAN) in R
An easy way to get started with Generative Adversarial Nets (GAN) in R. The GAN algorithm was initia ...
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  
kim  
A Toolkit for Behavioral Scientists
A collection of functions for analyzing data typically collected or used by behavioral scientists. ...
Download / Learn more Package Citations See dependency  
sfinx  
Straightforward Filtering Index for AP-MS Data Analysis (SFINX)
The straightforward filtering index (SFINX) identifies true positive protein interactions in a fast ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

73,054

Author Associations

27,205

Publication Badges

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