salmon: A Symbolic Linear Regression Package for Python

11/02/2019
by   Alex Boyd, et al.
0

One of the most attractive features of R is its linear modeling capabilities. We describe a Python package, salmon, that brings the best of R's linear modeling functionality to Python in a Pythonic way—by providing composable objects for specifying and fitting linear models. This object-oriented design also enables other features that enhance ease-of-use, such as automatic visualizations and intelligent model building.

READ FULL TEXT

page 5

page 6

page 7

page 16

research
10/31/2021

Asgl: A Python Package for Penalized Linear and Quantile Regression

Asg is a Python package that solves penalized linear regression and quan...
research
12/19/2020

Bambi: A simple interface for fitting Bayesian linear models in Python

The popularity of Bayesian statistical methods has increased dramaticall...
research
08/08/2020

FitsGeo – Python package for PHITS geometry development and visualization

An easy way to define and visualize geometry for PHITS input files intro...
research
05/30/2022

Holistic Generalized Linear Models

Holistic linear regression extends the classical best subset selection p...
research
12/20/2017

CameraTransform: a Scientific Python Package for Perspective Camera Corrections

Scientific applications often require an exact reconstruction of object ...
research
09/06/2019

AutoGMM: Automatic Gaussian Mixture Modeling in Python

Gaussian mixture modeling is a fundamental tool in clustering, as well a...
research
01/05/2023

TextDescriptives: A Python package for calculating a large variety of statistics from text

TextDescriptives is a Python package for calculating a large variety of ...

Please sign up or login with your details

Forgot password? Click here to reset