Alternatives and similar repositories for pymarginaleffects

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

• AlexAndorra / pydata-berlin-statespace-models
  A Beginner's Guide to State Space Modeling
  ☆23Updated last month
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆33Updated last week
• py-econometrics / duckreg
  Every big regression is a small regression with weights.
  ☆64Updated last month
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆18Updated 8 months ago
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆53Updated this week
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆54Updated 7 months ago
• avehtari / ActiveStatistics
  Active Statistics book web page
  ☆12Updated 11 months ago
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆37Updated last week
• samplics-org / samplics
  Select, weight and analyze complex sample data
  ☆72Updated 3 months ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆64Updated 2 weeks ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆43Updated 3 months ago
• einatboro / awesome-survival-analysis
  Resources for Survival Analysis
  ☆98Updated 5 months ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆97Updated 4 years ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• kpjmcg / Statistical-Rethinking-2023-Python-Notes
  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…
  ☆73Updated 2 years ago
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆49Updated 3 weeks ago
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆14Updated 4 months ago
• rmcelreath / stat_rethinking_2025
  ☆170Updated 9 months ago
• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆23Updated this week
• arviz-devs / arviz-stats
  Statistical computation and diagnostics for ArviZ.
  ☆15Updated last week
• tidypyverse / tidypandas
  A grammar of data manipulation for pandas inspired by tidyverse
  ☆103Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆89Updated 5 months ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 3 weeks ago
• py-econometrics / jaxonometrics
  Econometrics on the GPU (and CPU) via JAX
  ☆17Updated 5 months ago
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆30Updated last week
• arviz-devs / arviz-plots
  ArviZ modular plotting
  ☆19Updated last week
• aeturrell / specification_curve
  Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple dif…
  ☆26Updated last week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆160Updated last month