Alternatives and similar repositories for edstan-python:

Users that are interested in edstan-python are comparing it to the libraries listed below

• cjurban / deepirtools
  Deep learning-based estimation and inference for item response theory models.
  ☆18Updated 3 months ago
• almost-matching-exactly / MALTS
  ☆15Updated 7 months ago
• tmiasko / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆12Updated 4 years ago
• philchalmers / mirt
  Multidimensional item response theory
  ☆210Updated last week
• eribean / girth
  An Item Response Theory Package for Python
  ☆113Updated 2 years ago
• jamalex / bayesian-irt
  Example code for doing MIRT (multidimensional item response theory) simulations in Python using PyMC
  ☆50Updated 12 years ago
• mhw32 / variational-item-response-theory-public
  A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"
  ☆76Updated 4 years ago
• philchalmers / mirtCAT
  Computerized Adaptive Testing with Multidimensional Item Response Theory
  ☆95Updated 4 months ago
• vankesteren / tensorsem
  Structural Equation Modeling using Torch
  ☆52Updated last year
• douglasrizzo / catsim
  Computerized Adaptive Testing Simulator
  ☆128Updated 9 months ago
• syrgkanislab / orthogonal_regularized_estimation
  Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…
  ☆15Updated 4 years ago
• FredHasselman / The-Complex-Systems-Approach-Book
  This book is a practical guide to basic theory, models, methods and analyses that can be used to study human physiology, behaviour and co…
  ☆12Updated 5 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆56Updated 8 months ago
• statnet / ndtv
  ndtv: Network Dynamic Temporal Visualizations in R
  ☆52Updated 7 months ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• matthewjdenny / preText
  An R package to assess the effects of text preprocessing decisions.
  ☆66Updated 3 years ago
• jgbrainstorm / computational_psychometrics
  This is the code repo for our book on computational psychometrics
  ☆59Updated 8 months ago
• jcatw / ergm
  An implementation of the exponential random graph model
  ☆26Updated 10 years ago
• IQSS / cem
  ☆17Updated 2 years ago
• assuncaolfi / savvi
  A package for Safe Anytime Valid Inference
  ☆26Updated 3 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆27Updated last month
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆25Updated 2 years ago
• ogencoglu / causal_twitter_modeling_covid19
  Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
  ☆10Updated last year
• pzivich / zEpid
  Epidemiology analysis package
  ☆143Updated last year
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 10 months ago
• moocarme / pydata_2018
  Repo for PyData 2018 tuorial
  ☆12Updated 6 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last year
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆56Updated last month