swager / randomForestCI
This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
☆70Updated 7 years ago
Alternatives and similar repositories for randomForestCI:
Users that are interested in randomForestCI are comparing it to the libraries listed below
- An R package for large scale estimation with stochastic gradient descent☆62Updated 11 months ago
- Files for Modern Statistical Workflow workshop☆10Updated 8 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated last year
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Utilities for glmnet☆65Updated last year
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 8 years ago
- exploratory data analysis using random forests☆69Updated 6 years ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 2 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆32Updated last year
- Standard API for Distributed Data Structures in R☆118Updated 7 years ago
- Bayesian Optimization of Hyperparameters☆85Updated 9 months ago
- ☆31Updated 2 years ago
- Little R utility package for making time series data more machine learning-friendly☆49Updated 4 years ago
- R project participation in Google Summer of Code 2015☆42Updated 9 years ago
- Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata☆16Updated 7 years ago
- Recurrent Neural Networks in R☆76Updated last year
- Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 2 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆286Updated 3 weeks ago
- Practical examples for the R caret machine learning package☆66Updated 7 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 8 years ago
- An R package for better visualizing a statistical learning model☆34Updated 2 years ago
- Notes on generalized linear models☆111Updated 6 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated 11 months ago
- Exploratory and diagnostic machine learning tools for R☆72Updated 3 years ago
- Current version of the SuperLearner R package☆273Updated 11 months ago
- ☆77Updated 9 years ago
- Temporal HIErarchical Forecasting☆48Updated last year
- Draft introduction to probability and inference aimed at the Stan manual.☆84Updated 8 years ago