Alternatives and similar repositories for yager

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

• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• natydasilva / PPforest
  Projection Pursuit Forest Algorithm for Supervised Classification
  ☆18Updated last week
• nanxstats / msaenet
  🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
  ☆13Updated 11 months ago
• jsugarelli / debugr
  Debug tool to watch objects/expressions while running an R script
  ☆17Updated 6 years ago
• hadley / productplots
  Product graphics for categorical data
  ☆29Updated 8 months ago
• privefl / bigsparser
  Sparse matrix format with data on disk
  ☆10Updated 9 months ago
• okgreece / gginference
  Visualise the Results of Inferential Statistics using 'ggplot2'
  ☆13Updated 2 years ago
• RfastOfficial / Rfast2
  A collection of Rfast2 functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. N…
  ☆39Updated last month
• berndbischl / BBmisc
  ☆20Updated last year
• david-cortes / MatrixExtra
  (R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")
  ☆23Updated last year
• flashxio / FlashR
  An R package extends R to process tera-scale datasets in parallel and out of core automatically.
  ☆16Updated 7 years ago
• wrathematics / RparallelGuide
  A guide to parallel R, including OpenMP. Kind of.
  ☆38Updated 10 years ago
• randy3k / xptr
  Manipulating External Pointer
  ☆13Updated 4 years ago
• eddelbuettel / rcppgsl
  Rcpp integration for GNU GSL vectors and matrices
  ☆33Updated last month
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• dipterix / dipsaus
  My personal toolbox, R package dipsaus, feel free to copy them
  ☆14Updated 2 months ago
• talegari / r_neural_network_deep_learning
  This is a curated list of libraries and frameworks for Neural network and deep learning in R
  ☆20Updated 4 years ago
• WinVector / rqdatatable
  Implement the rquery piped query algebra in R using data.table. Distributed under choice of GPL-2 or GPL-3 license.
  ☆38Updated last year
• TobCap / demagrittr
  kind of precompiling from magrittr's syntax to eager evaluation syntax
  ☆29Updated 7 years ago
• HenrikBengtsson / article-bengtsson-future
  H. Bengtsson, A Unifying Framework for Parallel and Distributed Processing in R using Futures, The R Journal, 10.32614/RJ-2021-048, 2021
  ☆10Updated last year
• ramhiser / sparsediscrim
  Sparse and Regularized Discriminant Analysis in R
  ☆14Updated 4 years ago
• Merck / pkglite
  Compact Package Representations
  ☆29Updated 7 months ago
• jangorecki / big.data.table
  Distributed parallel computing on data.table
  ☆36Updated 9 years ago
• kevinushey / Kmisc
  A collection of functions for common data reshaping operations, as well as functions for table and plot generation for R Markdown documen…
  ☆42Updated 7 years ago
• pneuvial / adjclust
  Adjacency-constrained hierarchical clustering of a similarity matrix
  ☆16Updated 8 months ago
• skranz / shinyEvents
  Use shiny with event handlers instead of reactivity
  ☆36Updated 2 years ago
• iSEE / isee-shiny-contest
  iSEE repository for the Shiny contest
  ☆21Updated 5 years ago
• jeremystan / aargh
  Easily Expose R Functions to Command Line Arguments
  ☆47Updated 8 years ago
• wrathematics / coop
  Fast covariance, correlation, and cosine similarity.
  ☆35Updated 3 years ago
• ggobi / plumbr
  Mutable dynamic data structures for R
  ☆18Updated 11 years ago