junpenglao / GLMM-in-PythonLinks
Generalized linear mixed-effect model in Python
☆183Updated 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☆131Updated 5 years ago
- Python implementation of elastic-net regularized generalized linear models☆287Updated 2 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- All the convenience of lme4 in python☆224Updated 4 months ago
- ☆208Updated 2 years ago
- ☆73Updated 7 years ago
- Bayesian estimation supersedes the t test☆145Updated 4 years ago
- Mixed Effects Random Forest☆240Updated last year
- Scikit-learn compatible estimation of general graphical models☆249Updated 7 months ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Updated last year
- Library of Stan Models for Survival Analysis☆124Updated 5 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
- Python/numpy bootstrap confidence interval estimation.☆179Updated 5 months ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Data Analysis with Bootstrapped ESTimation☆370Updated 3 months ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆140Updated last year
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- ☆160Updated 3 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 5 years ago
- Hidden Markov models in PyMC3☆96Updated last year
- ☆240Updated 7 years ago
- This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given datase…☆169Updated 2 years ago
- Repository of my talk for Bayes@Lund 2017☆10Updated 8 years ago
- Multiple hypothesis testing in Python☆112Updated last year
- Tutorial on Bayesian tests for Machine Learning☆78Updated 5 years ago
- Inference case studies in jupyter☆93Updated 7 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆97Updated last year