piecewise-regression

fit piecewise linear data for a specified number of line segments

piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

Robust piecewise regression

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Smoothing splines for signals with discontinuities

Python package for piecewise-linear trend detection and plain-English narrative generation for time series data.

Functional Latent datA Models for clusterING heterogeneOus curveS

Library for Fast Segmented Regression

Implementation of Piece-wise Linear Regression in python on data with Gaussian noise.

piecewise polynomial regression library

Automatic partitioning for 2D spatial area

Modeling Portfolio (Python based)

This repository consists of the raw data and R scripts of an investigation on the age of acquisition effects. Piecewise regression models have been fitted in this study.

Code accompanying the paper "Shifting Hydrologic Pathways in Temperate Forest Headwaters Under a Changing Climate."

Codes used for analysis reported in: Filogonio R, Leite CAC 2023. A comparison of four common mathematical models to assess baroreflex sensitivity. J Exp Zool A

Piecewise and Spline regression model using NumPy.

Econometric ML model for credit risk auditing, featuring a custom Double-Tree piecewise architecture for full transparency, deployed as a serverless Dash application on GCP.