Alternatives and similar repositories for GPDPQuantReg

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

• 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
• robjhyndman / M4metalearning
  ☆116Updated 6 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• tnagler / VineCopula
  Statistical inference of vine copulas
  ☆96Updated 2 months ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 8 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆146Updated 8 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆110Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆248Updated last year
• ykang / gratis
  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
  ☆76Updated last year
• jbrowell / ProbCast
  ProbCast: an R Package for Flexible Probabilistic Forecasting
  ☆33Updated last year
• BayerSe / l1qr
  Lasso Quantile Regression
  ☆31Updated 5 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 5 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 3 years ago
• 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
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 8 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• MaggieLieu / STAN_tutorials
  ☆30Updated 5 years ago
• JingyuHe / XBART
  ☆92Updated 9 months ago
• IamGianluca / arm
  My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
  ☆81Updated 6 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 3 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 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
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆172Updated 11 months ago
• asbates / bayes-time-series
  ☆27Updated 6 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago