Alternatives and similar repositories for survivalstan

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

• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆255Updated 4 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• cran / bsts
   This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
  ☆34Updated last year
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 2 months ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆168Updated 2 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated last week
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆50Updated 4 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• cavaunpeu / statistical-rethinking
  Solutions for the practice problems
  ☆146Updated 4 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 9 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 8 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆327Updated 9 years ago
• vasishth / BayesLMMTutorial
  Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
  ☆83Updated 9 years ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• waldronlab / Statistical-Rethinking
  An interactive online reading of McElreath's Statistical Rethinking
  ☆125Updated 7 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 4 months ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago