Alternatives and similar repositories for GLMM-in-Python

Users that are interested in GLMM-in-Python are comparing it to the libraries listed below

• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆128Updated 5 years ago
• ejolly / pymer4
  All the convenience of lme4 in python
  ☆202Updated last week
• manifoldai / merf
  Mixed Effects Random Forest
  ☆229Updated 11 months ago
• civisanalytics / python-glmnet
  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
  ☆266Updated 10 months ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 9 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆282Updated last year
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆177Updated last year
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆144Updated 3 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• bbalasub1 / glmnet_python
  ☆203Updated last year
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 7 years ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆79Updated 4 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated last year
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• puolival / multipy
  Multiple hypothesis testing in Python
  ☆105Updated 9 months ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• dominance-analysis / dominance-analysis
  This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given datase…
  ☆160Updated last year
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• asardaes / dtwclust
  R Package for Time Series Clustering Along with Optimizations for DTW
  ☆262Updated 10 months ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆256Updated 4 years ago
• ACCLAB / DABEST-python
  Data Analysis with Bootstrapped ESTimation
  ☆353Updated 2 months ago