pablo14 / genetic-algorithm-feature-selectionLinks
Script to select the best subset of variables based on genetic algorithm in R
☆46Updated 6 years ago
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
Sorting:
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆89Updated 9 months ago
- CaPO4Sim, the virtual physiology simulator☆45Updated 10 months ago
- Surrogate Assisted Feature Extraction in R☆28Updated 3 years ago
- R Package of methods and data for spatial epidemiology☆34Updated 2 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆33Updated 3 years ago
- This package is for visualising variable importance and variable interaction.☆27Updated 3 months ago
- 🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)☆46Updated 6 years ago
- Statistical Visualizations with {ggstatsplot}: A Biography☆30Updated 2 weeks ago
- Survival Support Vector Analysis☆18Updated 8 months ago
- Shap values for model interpretation☆67Updated 5 years ago
- Package: R Interface to AutoKeras☆73Updated 4 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year
- Survival Analysis in R (deprecated)☆25Updated last year
- R Code for Causal Inference by Hernán and Robins☆22Updated 4 years ago
- mlr3shiny: Machine Learning in Shiny with mlr3☆30Updated last month
- Fast multivariate imputation by random forests.☆71Updated 8 months ago
- R package for risk regression and prediction with censored data☆53Updated 3 weeks ago
- R greport package: Graphical reporting of clinical trials☆25Updated 2 years ago
- Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering☆85Updated last week
- shinyML is a R package that use h2o and Spark frameworks to easily compare supervised machine learning models on regression or classific…☆60Updated 4 years ago
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆46Updated 6 months ago
- A Shiny App that Produce Forest Plots to Visualize Covariate Effects☆31Updated 2 months ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated 2 years ago
- An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…☆42Updated 3 months ago
- rstudio::conf(2020) deep learning workshop☆161Updated 5 years ago
- ☆34Updated last year
- Subset partitioning via anticlustering☆38Updated 2 weeks ago
- ClinReport is an R package dedicated to the statistical reporting. The aim is to have easy to use functions to create statistical reports…☆13Updated 5 years ago
- Creating course materials and providing a website using R Markdown☆41Updated 6 years ago
- iSEE repository for the Shiny contest☆21Updated 5 years ago