sakrejda / stan-workshopLinks
Examples of working and non-working models, initially for ODCS 2016 in Boston.
☆11Updated 9 years ago
Alternatives and similar repositories for stan-workshop
Users that are interested in stan-workshop are comparing it to the libraries listed below
Sorting:
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 3 months 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
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- Model verification, validation, and error analysis☆58Updated last year
- "Exploratory Data Analysis using Random Forests"☆18Updated 9 years 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
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- A demonstration of Bayesian approaches to linear model regularization☆17Updated 8 years ago
- Moment-Based Estimation for Hierarchical Models (R Package)☆25Updated 2 months ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆20Updated 7 years ago
- Showcase for using R + MXNET along with AWS and bitfusion for deep learning.☆19Updated 7 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 5 years ago
- Introduction to Stan, rstan & rstanarm☆11Updated 6 years ago
- Preparing Experimental Data for Statistical Analysis☆16Updated 6 years ago
- Data from the M-competitions☆11Updated last year
- An R package for out-of-core regressions☆14Updated 7 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆25Updated 2 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- ☆24Updated 5 years ago
- Machine Learning algorithms coded from scratch☆22Updated 4 years ago
- XR-style Interface to Python (from "Extending R")☆17Updated last year
- We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…☆16Updated 7 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- A system for blending regression models in R☆75Updated 12 years ago
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆26Updated 4 months ago
- Lecture Slides for Introduction to Data Science☆25Updated 2 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- R interface to the Vowpal Wabbit☆23Updated 8 months ago