mlampros / FeatureSelection
Feature Selection in R using glmnet-lasso, xgboost and ranger
☆56Updated 5 months ago
Alternatives and similar repositories for FeatureSelection:
Users that are interested in FeatureSelection are comparing it to the libraries listed below
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆147Updated last month
- Practical examples for the R caret machine learning package☆66Updated 7 years ago
- Shap values for model interpretation☆59Updated 5 years ago
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆43Updated 4 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Perform PCA on data with missing values in R☆48Updated last year
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆88Updated last month
- A random-forest-based approach for imputing clustered incomplete data☆35Updated 7 years ago
- 🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)☆46Updated 5 years ago
- mlim: single and multiple imputation with automated machine learning☆31Updated 6 months ago
- An R package for t-SNE (t-Distributed Stochastic Neighbor Embedding)☆58Updated 5 years ago
- Diverse Cluster Ensemble in R☆37Updated 11 months ago
- CRAN R package: Impute missing values based on automated variable selection☆16Updated 3 years ago
- ARCHIVED Wraps UMAP Algorithm for Dimension Reduction☆112Updated 2 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆46Updated 5 years ago
- Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally di…☆39Updated 10 months ago
- Stability Selection with Error Control☆26Updated 4 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- Sparse and Regularized Discriminant Analysis in R☆14Updated 4 years ago
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆26Updated 3 weeks ago
- Bayesian Linear Mixed Effect Models☆42Updated 4 months ago
- Variable Selection Using Random Forests☆36Updated 6 months ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆72Updated 2 months ago
- This is a curated list of libraries and frameworks for Neural network and deep learning in R☆19Updated 4 years ago
- Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering☆84Updated 7 months ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- R wrapper for Multicore t-SNE☆29Updated 7 years ago
- Read, write and format Excel files using R☆15Updated 7 years ago
- Simplified odds ratio calculation of binomial GAM/GLM models☆31Updated this week
- Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support☆35Updated 3 months ago