R Package Scholar
239,355

VIM: Visualization and Imputation of Missing Values

Matthias Templ  Alexander Kowarik  Andreas Alfons  Gregor de Cillia  Bernd Prantner  Wolfgang Rannetbauer   View description and downloadsView dependenciesGitHub project

2012 Published
0 Citations
6 Authors
16 Revisions
7.0.0 Version
GPL-2 License
Referenced by ⇅ Year
mdapack: Medical Data Analysis Pack (Version 0.0.2)

2020
pguIMP: Visually Guided Preprocessing of Bioanalytical Laboratory Data (Version 0.1.1)

2021
NADIA: NA Data Imputation Algorithms (Version 0.4.2)

2020
ProtE: Processing Proteomics Data, Statistical Analysis and Visualization (Version 1.0.3)

2025
sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation (Version 5.8.0)

2007
fastml: Guarded Resampling Workflows for Safe and Automated Machine Learning in R (Version 0.7.6)

2024
DataFusionGDM Datasets: (Version )

0
FuzzyImputationTest: Imputation Procedures and Quality Tests for Fuzzy Data (Version 0.5.2)

2024
MAICtools: Performing Matched-Adjusted Indirect Comparisons (MAIC) (Version 0.1.1)

2024
MIGEE: Impute Missing Values and Fitting Linear Mixed Effect Model (Version 0.1.0)

2024
clusterMI: Cluster Analysis with Missing Values by Multiple Imputation (Version 1.5)

2024
lfproQC: Quality Control for Label-Free Proteomics Expression Data (Version 1.4.1)

2024
micemd: Multiple Imputation by Chained Equations with Multilevel Data (Version 1.10.1)

2017
missCompare: Intuitive Missing Data Imputation Framework (Version 1.0.3)

2019
onlineBcp: Online Bayesian Methods for Change Point Analysis (Version 0.1.8)

2021
pandemonium: High Dimensional Analysis in Linked Spaces (Version 0.2.4)

2025
promor: Proteomics Data Analysis and Modeling Tools (Version 0.2.2)

2022
robCompositions: Compositional Data Analysis (Version 2.4.2)

2009
simPop: Simulation of Complex Synthetic Data Information (Version 2.1.3)

2014
simputation: Simple Imputation (Version 0.2.9)

2016

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