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
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 8 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
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆255Updated 4 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 8 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆28Updated 9 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated 2 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 3 weeks ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆111Updated last week
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆50Updated 4 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 7 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 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
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆63Updated last year
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• nanw16 / RstanWorkflow
  We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…
  ☆16Updated 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
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆275Updated last year
• IamGianluca / arm
  My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
  ☆81Updated 5 years ago
• 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
• waldronlab / Statistical-Rethinking
  An interactive online reading of McElreath's Statistical Rethinking
  ☆124Updated 6 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 7 months ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago