bashtage / linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
☆983Updated this week
Alternatives and similar repositories for linearmodels:
Users that are interested in linearmodels are comparing it to the libraries listed below
- ARCH models in Python☆1,393Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,153Updated 3 weeks ago
- A high-performance implementation of Wilkinson formulas for Python.☆388Updated 3 months ago
- Python implementation of the R stargazer multiple regression model creation tool☆202Updated 9 months ago
- Jupyter notebooks on time series econometrics topics.☆283Updated last year
- A Python package for causal inference in quasi-experimental settings☆980Updated last week
- Causal Inference in Python☆569Updated 4 years ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆222Updated last week
- DoubleML - Double Machine Learning in Python☆579Updated last week
- Examples of PyMC models, including a library of Jupyter notebooks.☆322Updated 2 weeks ago
- [HELP REQUESTED] Generalized Additive Models in Python☆894Updated 10 months ago
- High performance Python GLMs with all the features!☆332Updated this week
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Updated 3 years ago
- Statistical package in Python based on Pandas☆1,751Updated last month
- Functional Data Analysis Python package☆324Updated this week
- PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io☆352Updated 10 months ago
- PyStan, the Python interface to Stan☆926Updated 4 years ago
- Time should be taken seer-iously☆315Updated 2 years ago
- Exploratory analysis of Bayesian models with Python☆1,677Updated last week
- Python package for causal inference using Bayesian structural time-series models.☆239Updated 4 years ago
- Describing statistical models in Python using symbolic formulas☆966Updated last week
- Heterogenous Agents Resources & toolKit☆346Updated this week
- Python port of CausalImpact R library☆285Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆266Updated last week
- Generate realizations of stochastic processes in python.☆473Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆411Updated last year
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,306Updated 10 months ago
- A community based Python library for quantitative economics☆2,108Updated 2 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆2,931Updated 4 months ago
- Nowcasting☆217Updated 5 years ago