Alternatives and similar repositories for factor_rotation

Users that are interested in factor_rotation are comparing it to the libraries listed below

• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆182Updated 7 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆287Updated 2 years ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• hddm-devs / hddm
  HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
  ☆297Updated last year
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆130Updated 5 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 4 months ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 8 years ago
• mslugocki / bayesfit
  Bayesian Psychometric Curve Fitting Tool
  ☆45Updated 11 months ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• tomwallis / glm-intro
  A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens
  ☆27Updated 10 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 3 years ago
• pavanramkumar / pydata-chicago-2016
  Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentation/15/
  ☆11Updated 9 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 4 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…
  ☆167Updated 2 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 8 years ago
• compmem / ptsa
  Python Time Series Analysis (PTSA, pronounced "pizza")
  ☆42Updated 8 years ago
• pennmem / ptsa
  PTSA - Python Time Series Analysis
  ☆22Updated last year
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 3 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…
  ☆127Updated 9 years ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆95Updated 6 years ago
• hddm-devs / kabuki
  Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
  ☆73Updated 2 years ago
• QuentinAndre / pyprocessmacro
  A Python library for moderation, mediation and conditional process analysis.
  ☆103Updated last week
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 6 months ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• ejolly / pymer4
  All the convenience of lme4 in python
  ☆217Updated 3 months ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago