Alternatives and similar repositories for SimpleAintEasy:

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

• kbroman / JSM2016slides
  Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago
  ☆79Updated 3 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆110Updated 6 years ago
• johnmyleswhite / MLNotes
  Very concise notes on machine learning and statistics.
  ☆382Updated 12 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated last month
• zmjones / edarf
  exploratory data analysis using random forests
  ☆69Updated 7 years ago
• rbertolusso / intubate
  <||> Interfaces to Popular R Functions for Data Science Pipelines, and More
  ☆75Updated 8 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 9 years ago
• kshirley / summarytrees
  R package to compute and visualize summary trees
  ☆36Updated 9 years ago
• hadley / ggstat
  Statistical computations for visualisation
  ☆70Updated 8 years ago
• karthik / testdat
  A package to run unit tests on tabular data
  ☆141Updated 8 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• earino / fast_sample
  A script for rapidly sampling a proportion of lines from a file
  ☆19Updated 10 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 10 years ago
• hadley / oldbookdown
  ☆39Updated 9 years ago
• ramnathv / rNotebook
  A browser based R Notebook
  ☆125Updated 11 years ago
• drewconway / data_science_box
  Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2
  ☆163Updated 11 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆79Updated 6 years ago
• delta-rho / datadr
  Divide and Recombine
  ☆68Updated 8 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• jennybc / 2015-02-23_bryan-fields-talk
  Talk at Workshop on Visualization for Big Data: Strategies and Principles, Fields Institute http://www.fields.utoronto.ca/programs/scient…
  ☆34Updated 9 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• tdhock / animint
  animated and interactive web graphics
  ☆147Updated 5 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 6 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• Myfanwy / ggplot2Intro
  Materials accompanying the presentation "Introduction to ggplot2"
  ☆28Updated 8 years ago
• rtrangucci / gps_in_stan
  ☆12Updated 8 years ago
• wrathematics / RparallelGuide
  A guide to parallel R, including OpenMP. Kind of.
  ☆38Updated 9 years ago