junpenglao / GLMM-in-PythonLinks
Generalized linear mixed-effect model in Python
☆180Updated 6 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:
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- Generalized Linear Models in Sklearn Style☆129Updated 5 years ago
- Python implementation of elastic-net regularized generalized linear models☆283Updated last year
- Mixed Effects Random Forest☆232Updated last year
- All the convenience of lme4 in python☆205Updated last month
- Bayesian estimation supersedes the t test☆144Updated 3 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆267Updated 11 months ago
- ☆73Updated 6 years ago
- ☆204Updated last year
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Scikit-learn compatible estimation of general graphical models☆246Updated last month
- Python/numpy bootstrap confidence interval estimation.☆178Updated last year
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- ☆159Updated 2 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- Hidden Markov models in PyMC3☆99Updated last year
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- Tutorial on Bayesian tests for Machine Learning☆79Updated 4 years ago
- Materials from Stan conferences☆256Updated 4 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- ☆240Updated 7 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- Repository of my talk for Bayes@Lund 2017☆10Updated 7 years ago
- Multiple hypothesis testing in Python☆108Updated 11 months ago