| Name | Version | Summary | date |
| fin-nln |
0.1.0 |
A Python library for detecting nonlinearity in financial time series |
2025-08-19 17:35:37 |
| pyautocausal |
0.1.0 |
Automated causal inference pipelines for data scientists |
2025-08-17 18:39:27 |
| bellman-filter-dfsv |
1.0.0 |
High-performance JAX-based filtering for Dynamic Factor Stochastic Volatility (DFSV) models |
2025-08-12 01:10:38 |
| pystatar |
0.4.0 |
PyStataR aims to recreate and significantly enhance the top and most frequently used Stata commands in Python, transforming them into the most powerful and user-friendly statistical tools for academic research. Our goal is to not just replicate Stata's functionality, but to expand and improve upon it, leveraging Python's ecosystem to create superior research tools. |
2025-08-02 00:19:39 |
| pyoutreg |
0.1.1 |
A Python implementation of Stata's outreg2 for exporting regression results |
2025-08-02 00:05:34 |
| pyegen |
0.2.4 |
Python implementation of Stata's egen command for pandas DataFrames |
2025-07-30 23:18:29 |
| pyhtelasso |
0.2.0 |
A Python package for detecting treatment effect heterogeneity using debiased lasso |
2025-07-25 20:36:17 |
| pydoublelasso |
0.2.0 |
Python implementation of the Double Post-Lasso estimator for treatment effect estimation |
2025-07-25 20:32:33 |
| garch11-ged |
0.1.0 |
Fast GARCH(1,1) with GED innovations implementation in C++ |
2025-07-18 03:28:44 |
| time-series-model-transfer-function-analyzer |
0.1.2 |
时序模型传递函数分析器 - 自动推导ARIMA模型的传递函数表达式 |
2025-07-13 16:15:36 |
| econo-objects |
0.0.3 |
A simple python package for creating economic models and data objects using FRED API data. |
2025-02-28 03:08:09 |
| evdsts |
1.0rc5 |
A Python implementation for retrieving and transforming macroeconomic time series data from TCMB EVDS (CBRT EDDS) API. |
2024-12-06 21:06:35 |
| arch |
7.2.0 |
ARCH for Python |
2024-11-04 16:01:44 |
| model-confidence-set |
0.1.3 |
model-confidence-set provides a Python implementation of the Model Confidence Set (MCS) procedure (Hansen, Lunde, and Nason, 2011), a statistical method for comparing and selecting models based on their performance. |
2024-10-21 13:50:08 |
| linearmodels |
6.1 |
Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python |
2024-09-24 09:46:18 |
| duckreg |
0.1.1 |
A package for Regression in compressed representation powered by DuckDB |
2024-09-08 20:13:21 |
| tsdisagg |
1.3 |
Statistical tools for converting low frequency time series data to higher frequencies |
2024-08-30 11:30:40 |
| wooldridge |
0.4.5 |
Data sets from Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge) |
2024-07-10 11:00:28 |