Alternatives and similar repositories for randomForestCI

Users that are interested in randomForestCI are comparing it to the libraries listed below

• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated 2 years ago
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated 2 years ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 9 years ago
• rstats-gsoc / gsoc2017
  R project in Google Summer of Code 2017
  ☆107Updated 7 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• stan-dev / shinystan
  shinystan R package and ShinyStan GUI
  ☆199Updated this week
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆58Updated 3 weeks ago
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 3 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 4 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• hongooi73 / glmnetUtils
  Utilities for glmnet
  ☆65Updated 2 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 months ago
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆109Updated 6 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆76Updated 11 months ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 7 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• vertica / ddR
  Standard API for Distributed Data Structures in R
  ☆118Updated 7 years ago
• tobigithub / caret-machine-learning
  Practical examples for the R caret machine learning package
  ☆69Updated 8 years ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆285Updated 8 months ago