Alternatives and similar repositories for randomForestCI

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

• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 9 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated last week
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• hongooi73 / glmnetUtils
  Utilities for glmnet
  ☆65Updated last year
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆75Updated 9 months ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 3 years ago
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated last year
• cran / bsts
   This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
  ☆34Updated last year
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆109Updated 6 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated 2 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 4 months ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆281Updated last year
• stan-dev / shinystan
  shinystan R package and ShinyStan GUI
  ☆199Updated 7 months ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• vertica / ddR
  Standard API for Distributed Data Structures in R
  ☆118Updated 7 years ago
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated 6 months ago