Projects in Awesome Lists tagged with missing-data-imputation
A curated list of projects in awesome lists tagged with missing-data-imputation .
https://github.com/baggepinnen/totalleastsquares.jl
Solve many kinds of least-squares and matrix-recovery problems
errors-in-variables estimation imputation least-square-regression least-squares linear-regression matrix-completion missing-data missing-data-imputation nonnegative-matrix-factorization outlier-detection robust-estimation robust-pca robust-regresssion robust-statistics singular-value-decomposition total-least-square
Last synced: 26 Jan 2026
https://github.com/tslu1s/mlimputer
MLimputer: Missing Data Imputation Framework for Machine Learning
automated-machine-learning data-science imputation-algorithm imputation-methods imputation-optimizer machine-learning missing-data missing-data-handling missing-data-imputation null-imputation predictive-imputation python
Last synced: 22 Apr 2025
https://github.com/bdslab-upv/extremiss
Numerical data imputation methods for extremely missing data contexts
classification data-quality imputation imputation-methods machine-learning missing-data missing-data-imputation
Last synced: 01 Feb 2026
https://github.com/ehtisham-sadiq/cirrhosis-patient-outcome-prediction
Multi-class classification model to predict outcomes of cirrhosis patients using machine learning
classification competition data-preprocessing encoding-algorithms exploratory-data-analysis feature-engineering machine-learning machine-learning-algorithms missing-data-imputation model-training-and-evaluation multiclass-classification
Last synced: 12 Apr 2026
https://github.com/scarface987/imputetoolkit
🔍 Evaluate and compare imputation methods with consistent metrics using the intuitive S3 interface of the `imputetoolkit` R package.
benchmarking cpp data-quality devtools evaluation-metrics imputation missing-data missing-data-imputation r rcpp roxygen2 testthat usethis
Last synced: 18 May 2026
https://github.com/tanveer09/imputetoolkit
imputeToolkit is an R package designed to help users apply, compare, and visualise multiple imputation methods. It automates the process of masking known values, applying different imputation strategies, and evaluating their performance with clear metrics and visualisations.
benchmarking cpp data-quality devtools evaluation-metrics imputation missing-data missing-data-imputation r r-package rcpp roxygen2 testthat usethis
Last synced: 19 May 2026
https://github.com/aliciagilmatute/estudio-valores-perdidos
Este estudio investiga la efectividad de la imputación múltiple en el análisis factorial confirmatorio (AFC) con datos de liderazgo, donde se simularon valores perdidos (MCAR) en un 40% de la muestra.
afc cfa imputation-methods mcar mice-package missing-data missing-data-imputation missing-value-imputation multiple-imputation r rmarkdown rstats rstatses rstudio
Last synced: 02 Apr 2025
https://github.com/edanur-y/agricultural-yield-prediction-with-multiple-linear-regression
Performing multiple linear regression analysis on agricultural data to predict the yield.
data-analysis missing-data-imputation multiple-linear-regression outlier-analysis r
Last synced: 02 Mar 2025
https://github.com/aliciagilmatute/Estudio-Valores-Perdidos
Este estudio investiga la efectividad de la imputación múltiple en el análisis factorial confirmatorio (AFC) con datos de liderazgo, donde se simularon valores perdidos (MCAR) en un 40% de la muestra.
afc cfa imputation-methods mcar mice-package missing-data missing-data-imputation missing-value-imputation multiple-imputation r rmarkdown rstats rstatses rstudio
Last synced: 20 Mar 2025
