patr1ckm / mvtboostLinks
Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
☆36Updated 7 years ago
Alternatives and similar repositories for mvtboost
Users that are interested in mvtboost are comparing it to the libraries listed below
Sorting:
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 3 months ago
- Deepboost R-package for submission☆19Updated 7 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- R interface to the Vowpal Wabbit☆23Updated 8 months ago
- Comprehensive Cross-Validation Engine☆27Updated 2 years ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆57Updated 6 years ago
- R package to visualize mapping structures of random forests with feature contributions☆41Updated 3 years ago
- The xyz algorithm for fast interaction search in high-dimensional data.☆13Updated 7 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- R package for Distance Metric Learning☆58Updated 2 years ago
- Statistical Inference for Random Forests☆19Updated 6 years ago
- Moment-Based Estimation for Hierarchical Models (R Package)☆25Updated 2 months ago
- ☆38Updated 8 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆25Updated 2 years ago
- Bayesian Linear Mixed Effect Models☆44Updated 4 months ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆75Updated 8 months ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last month
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 8 years ago
- A random-forest-based approach for imputing clustered incomplete data☆35Updated 8 years ago
- ☆60Updated 5 years ago
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated 11 months ago
- Recurrent Neural Networks in R☆77Updated 2 years ago