Alternatives and similar repositories for survivalstan

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

• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 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
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆256Updated 4 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆167Updated 2 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated 2 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 8 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated this week
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 7 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 8 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆50Updated 4 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 7 months ago
• klarsen1 / gampost
  ☆78Updated 9 years ago
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆63Updated last year
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 9 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆275Updated last year
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆327Updated 8 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated last month
• vasishth / BayesLMMTutorial
  Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
  ☆83Updated 8 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆65Updated 4 years ago