junpenglao / GLMM-in-Python
Generalized linear mixed-effect model in Python
☆178Updated 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
- Teaching materials for Python MixedLM (mixed linear models)☆47Updated 7 years ago
- All the convenience of lme4 in python☆200Updated last month
- Python implementation of elastic-net regularized generalized linear models☆280Updated last year
- Generalized Linear Models in Sklearn Style☆128Updated 5 years ago
- ☆72Updated 6 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 8 years ago
- ☆204Updated last year
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- Python/numpy bootstrap confidence interval estimation.☆176Updated last year
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆266Updated 9 months ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 8 years ago
- Mixed Effects Random Forest☆229Updated 10 months ago
- Bayesian estimation supersedes the t test☆144Updated 3 years ago
- Dimensionality reduction for binary data☆50Updated 4 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Data Analysis with Bootstrapped ESTimation☆350Updated last month
- ☆158Updated 2 years ago
- Case studies on model assessment, model selection and inference after model selection☆171Updated last year
- Stan models for state space time series☆145Updated 7 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated last year
- Materials from Stan conferences☆256Updated 4 years ago
- Educational resources☆104Updated 3 years ago
- Inference case studies in knitr☆167Updated 2 years ago
- Hidden Markov models in PyMC3☆99Updated last year
- ☆240Updated 6 years ago
- Python software for selective inference☆53Updated 2 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆116Updated 8 years ago
- Multiple hypothesis testing in Python☆105Updated 8 months ago
- Python solver for mixed-effects models☆97Updated 7 years ago