missMDA: Handling Missing Values with Multivariate Data Analysis

Canonical link: https://rscholar.com/pkg/missMDA

Francois Husson • Julie Josse • View description and downloads View dependencies GitHub project

2010 Published

1.19 Version

0 Citations

2 Authors

Referenced by ⇅	Year
NADIA: NA Data Imputation Algorithms (Version 0.4.2)	2020
FactoMineR: Multivariate Exploratory Data Analysis and Data Mining (Version 2.11)	2006
Factoshiny: Perform Factorial Analysis from 'FactoMineR' with a Shiny Application (Version 2.6)	2015
INSPIRE: Inferring Shared Modules from Multiple Gene Expression Datasets with Partially Overlapping Gene Sets (Version 1.5)	2016
NIMAA: Nominal Data Mining Analysis (Version 0.2.1)	2021
OTrecod: Data Fusion using Optimal Transportation Theory (Version 0.1.2)	2021
clusterMI: Cluster Analysis with Missing Values by Multiple Imputation (Version 1.2.2)	2024
denoiseR: Regularized Low Rank Matrix Estimation (Version 1.0.2)	2016
geneticae: Statistical Tools for the Analysis of Multi Environment Agronomic Trials (Version 0.4.0)	2021
imp4p: Imputation for Proteomics (Version 1.2)	2016
missCompare: Intuitive Missing Data Imputation Framework (Version 1.0.3)	2019

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.