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 1.3)	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

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