Alternatives and similar repositories for genetic-algorithm-feature-selection:

Users that are interested in genetic-algorithm-feature-selection are comparing it to the libraries listed below

• AlanInglis / vivid
  This package is for visualising variable importance and variable interaction.
  ☆21Updated 5 months ago
• pablo14 / shap-values
  Shap values for model interpretation
  ☆59Updated 5 years ago
• PacktPublishing / R-Deep-Learning-Cookbook
  R Deep Learning Cookbook, published by Packt
  ☆30Updated 2 years ago
• nanxstats / deep-learning-recipes
  🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)
  ☆46Updated 5 years ago
• mlampros / FeatureSelection
  Feature Selection in R using glmnet-lasso, xgboost and ranger
  ☆56Updated 5 months ago
• jaredhuling / personalized
  Methods for subgroup identification / personalized medicine / individualized treatment rules
  ☆32Updated 2 years ago
• Thie1e / cutpointr
  Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
  ☆88Updated last month
• haghish / mlim
  mlim: single and multiple imputation with automated machine learning
  ☆31Updated 6 months ago
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆38Updated last month
• mdbrown / rmda
  R package to plot decision curves
  ☆27Updated 6 years ago
• FrancisArgnR / R-FeatureSelection-Packages
  Brief guide to feature selection packages in R
  ☆12Updated 4 years ago
• SteffenMoritz / imputeR
  CRAN R package: Impute missing values based on automated variable selection
  ☆16Updated 3 years ago
• IndrajeetPatil / intro-to-ggstatsplot
  Statistical Visualizations with {ggstatsplot}: A Biography
  ☆27Updated this week
• alexpkeil1 / qgcomp
  QGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival o…
  ☆37Updated last week
• hredestig / pcaMethods
  Perform PCA on data with missing values in R
  ☆48Updated last year
• MSKCC-Epi-Bio / gnomeR
  Package to wrangle and visualize genomic data in R
  ☆26Updated 3 months ago
• imbs-hl / survivalsvm
  Survival Support Vector Analysis
  ☆16Updated 6 years ago
• PacktPublishing / Web-Application-Development-with-R-Using-Shiny-third-edition
  Web Application Development with R Using Shiny - Third Edition, published by Packt
  ☆28Updated 2 years ago
• cran / mclust
   This is a read-only mirror of the CRAN R package repository. mclust — Gaussian Mixture Modelling for Model-Based Clustering, Classifica…
  ☆21Updated 9 months ago
• rwnahhas / RMPH_Resources
  Datasets and scripts needed for Introduction to Regression Methods for Public Health Using R
  ☆21Updated 3 months ago
• StatsGary / MLDataR
  A collection of Machine Learning datasets for health care and beyond
  ☆53Updated last year
• isubirana / compareGroups
  R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.
  ☆36Updated 2 months ago
• crj32 / M3C
  Monte Carlo Reference-based Consensus Clustering
  ☆36Updated 4 years ago
• jfrancoiscollin / ClinReport
  ClinReport is an R package dedicated to the statistical reporting. The aim is to have easy to use functions to create statistical reports…
  ☆13Updated 4 years ago
• caijun / ggcorrplot2
  Implementation of corrplot using ggplot2
  ☆37Updated 2 years ago
• tagteam / MedicalRiskPredictionModels
  ☆25Updated 4 years ago
• longhowlam / flowermodel
  shiny app to predict flower species
  ☆23Updated 6 years ago
• TJMurphy / jabstb
  Statistical design and analysis of experiments with R
  ☆15Updated 3 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• kwstat / desplot
  Plotting experimental designs for field experiments
  ☆22Updated last week