Alternatives and similar repositories for quantreg:

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

• ineswilms / bigtime
  Sparse estimation of large time series models
  ☆29Updated last year
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 years ago
• CY-dev / hqreg
  Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
  ☆10Updated 3 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 3 months ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆52Updated last year
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆41Updated 6 years ago
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆48Updated 5 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆43Updated 5 months ago
• mike-lawrence / bayes_days
  R & Stan code associated with my "Bayes Days" workshop
  ☆14Updated 9 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆27Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆38Updated 3 months ago
• fabian-s / spikeSlabGAM
  R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression …
  ☆14Updated 3 months ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆21Updated last year
• pbreheny / ncvreg
  Regularization paths for SCAD- and MCP-penalized regression models
  ☆42Updated last week
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆20Updated 2 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 3 months ago
• JeffreyRacine / R-Package-np
  R package np (Nonparametric Kernel Smoothing Methods for Mixed Data Types)
  ☆49Updated last week
• cosname / R-conference
  中国R会议官方网站 China R Conference Homepage
  ☆32Updated 7 months ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆16Updated 4 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆58Updated last year
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆24Updated 2 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆23Updated last year
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 4 months ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆16Updated 2 months ago
• LauraBalzer / HierarchicalTMLE
  R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…
  ☆9Updated 5 years ago
• cran / depmixS4
   This is a read-only mirror of the CRAN R package repository. depmixS4 — Dependent Mixture Models - Hidden Markov Models of GLMs and Oth…
  ☆12Updated 3 years ago