hammerlab / survivalstanLinks
Library of Stan Models for Survival Analysis
☆124Updated 4 years ago
Alternatives and similar repositories for survivalstan
Users that are interested in survivalstan are comparing it to the libraries listed below
Sorting:
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- Case studies on model assessment, model selection and inference after model selection☆171Updated last year
- Inference case studies in knitr☆167Updated 2 years ago
- Current version of the SuperLearner R package☆276Updated last year
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 weeks ago
- Materials from Stan conferences☆256Updated 4 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- ☆91Updated 4 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 9 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆86Updated 9 years ago
- Dimensionality reduction for binary data☆50Updated 4 years ago
- Projection predictive variable selection☆112Updated last week
- Stan models for state space time series☆145Updated 7 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆63Updated last year
- StanCon2018 Helsinki Tutorial☆30Updated 5 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- Python solver for mixed-effects models☆97Updated 2 weeks ago
- Files for Modern Statistical Workflow workshop☆10Updated 8 years ago
- Causal Inference using Bayesian Additive Regression Trees☆80Updated 9 months ago
- ☆78Updated 9 years ago
- Educational resources☆104Updated 3 years ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆75Updated 7 months ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆81Updated 5 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 3 years ago
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html☆83Updated 8 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 4 years ago