Alternatives and similar repositories for pymarginaleffects

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

• py-econometrics / duckreg
  Every big regression is a small regression with weights.
  ☆61Updated last month
• AlexAndorra / pydata-berlin-statespace-models
  A Beginner's Guide to State Space Modeling
  ☆16Updated 3 weeks ago
• avehtari / ActiveStatistics
  Active Statistics book web page
  ☆12Updated 9 months ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 2 weeks ago
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆18Updated 5 months ago
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated last week
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆54Updated this week
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆36Updated 10 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 4 months ago
• samplics-org / samplics
  Select, weight and analyze complex sample data
  ☆69Updated last week
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆28Updated last month
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• rstudio / vetiver-python
  Version, share, deploy, and monitor models.
  ☆68Updated 6 months ago
• avehtari / casestudies
  ☆30Updated last year
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• rstudio / pins-python
  ☆58Updated 3 weeks ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆37Updated 3 months ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 2 months ago
• tidypyverse / tidypandas
  A grammar of data manipulation for pandas inspired by tidyverse
  ☆102Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆42Updated last week
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆62Updated 2 years ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• tidyverts / tsibbledata
  Example datasets for tsibble
  ☆27Updated 10 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 5 months ago
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆47Updated this week
• arviz-devs / arviz-stats
  Statistical computation and diagnostics for ArviZ.
  ☆14Updated this week