boost-R / mboostLinks
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
☆77Updated last year
Alternatives and similar repositories for mboost
Users that are interested in mboost are comparing it to the libraries listed below
Sorting:
- Utilities for glmnet☆66Updated 2 years ago
- A Framework for Dimensionality Reduction in R☆73Updated 9 months ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 5 months ago
- Bayesian Optimization of Hyperparameters☆88Updated last year
- An R package for common supervised machine learning metrics.☆102Updated 6 years ago
- biglasso: Extending Lasso Model Fitting to Big Data in R☆115Updated last month
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- Rcpp bindings for Annoy☆76Updated 2 weeks ago
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆27Updated 11 months ago
- R package to interface with OpenML☆99Updated last year
- Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference☆112Updated 3 months ago
- Recurrent Neural Networks in R☆77Updated 2 weeks ago
- a set of R functions that I find useful☆20Updated 8 years ago
- R package to interface some popular parallelization backends with a unified interface☆57Updated 2 years ago
- Pre-packaged plots in R☆84Updated 4 months ago
- Fast rolling functions through Rcpp☆82Updated last year
- Hyperparameter optimization package of the mlr3 ecosystem☆58Updated this week
- BAS R package for Bayesian Model Averaging and Variable Selection☆47Updated last month
- Discrete Bayesian Additive Regression Trees Sampler☆61Updated 3 months ago
- A pure R implementation of the numerical steps in lmer and glmer☆36Updated last year
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆56Updated 6 years ago
- Isolation Forest implementation in R☆66Updated 6 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 4 years ago
- The set of functions used for time series analysis and in forecasting.☆94Updated this week
- Variable Selection Using Random Forests☆41Updated 2 months ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 9 months ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- R6 object-oriented interface for probability distributions.☆103Updated last year