Alternatives and similar repositories for quantreg

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

• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 6 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 7 months ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆35Updated 3 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 5 years ago
• mlampros / FeatureSelection
  Feature Selection in R using glmnet-lasso, xgboost and ranger
  ☆56Updated last year
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 4 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 3 months ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆59Updated last year
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆112Updated last year
• tlverse / sl3
  💪 🤔 Modern Super Learning with Machine Learning Pipelines
  ☆105Updated 3 months ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated last year
• jeffwong / imputation
  R package for data imputation. Fills missing values in a numeric matrix
  ☆38Updated 12 years ago
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆70Updated 3 years ago
• ykang / gratis
  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
  ☆77Updated last year
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆51Updated 5 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• matloff / regtools
  Various tools for linear, nonlinear and nonparametric regression.
  ☆126Updated last week
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 4 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated 2 years ago
• nproellochs / ReinforcementLearning
  This package performs model-free reinforcement learning in R.
  ☆69Updated 5 years ago
• dave-harrington / survival_workshop
  Survival analysis workshop using R
  ☆53Updated 6 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆19Updated 5 years ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆36Updated 8 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆42Updated 5 years ago
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• helske / seqHMM
  Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
  ☆100Updated last month