junpenglao / GLMM-in-PythonLinks
Generalized linear mixed-effect model in Python
☆182Updated 7 years ago
Alternatives and similar repositories for GLMM-in-Python
Users that are interested in GLMM-in-Python are comparing it to the libraries listed below
Sorting:
- Generalized Linear Models in Sklearn Style☆129Updated 5 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- All the convenience of lme4 in python☆209Updated last month
- Bayesian estimation supersedes the t test☆145Updated 3 years ago
- Python implementation of elastic-net regularized generalized linear models☆284Updated 2 years ago
- ☆73Updated 7 years ago
- Mixed Effects Random Forest☆232Updated last year
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- ☆159Updated 2 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Python/numpy bootstrap confidence interval estimation.☆179Updated 2 weeks ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 2 months ago
- Hidden Markov models in PyMC3☆99Updated last year
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆267Updated last year
- Data Analysis with Bootstrapped ESTimation☆359Updated this week
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- ☆205Updated last year
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Formulas for mixed-effects models in Python☆62Updated 6 months ago
- Multiple hypothesis testing in Python☆110Updated last year
- Inference case studies in jupyter☆93Updated 6 years ago
- Repository of my talk for Bayes@Lund 2017☆10Updated 7 years ago
- ☆240Updated 7 years ago
- Tutorial on Bayesian tests for Machine Learning☆79Updated 4 years ago
- This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given datase…☆163Updated 2 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 7 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆94Updated last year
- Presented at Scipy Conference 2019☆127Updated 5 years ago