Alternatives and similar repositories for stan2tfp

Users that are interested in stan2tfp are comparing it to the libraries listed below

• jhelvy / stanTuneR
  This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail beh…
  ☆29Updated 5 years ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 8 months ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆38Updated 3 weeks ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆31Updated 3 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 11 months ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• adamhaber / pybrms
  Pythonic interface to R's brms
  ☆44Updated 3 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 2 weeks ago
• paul-buerkner / LFO-CV-paper
  ☆14Updated 5 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆55Updated 2 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 7 months ago
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆32Updated last month
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆34Updated last month
• MateusMaiaDS / gpbart
  Implementation of GP-BART algorithm.
  ☆16Updated last year
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• haozhestat / rfinterval
  An R package "rfinterval": Predictive Inference on Random Forests
  ☆13Updated 5 years ago
• quentingronau / bridgesampling
  R package for bridge sampling
  ☆32Updated last year
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆21Updated last month
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago
• luisdamiano / stancon18
  A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.
  ☆31Updated 7 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 10 months ago
• liesel-devs / liesel
  A probabilistic programming framework
  ☆43Updated this week
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 3 months ago
• helske / bssm
  Bayesian Inference of State Space Models
  ☆43Updated 8 months ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆18Updated 2 months ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 years ago