How to Install and Uninstall python3-statsmodels Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: July 03,2024

1. Install "python3-statsmodels" package

In this section, we are going to explain the necessary steps to install python3-statsmodels on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install python3-statsmodels

2. Uninstall "python3-statsmodels" package

This tutorial shows how to uninstall python3-statsmodels on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove python3-statsmodels $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-statsmodels package on Ubuntu 20.10 (Groovy Gorilla)

Package: python3-statsmodels
Architecture: all
Version: 0.11.1-5
Priority: optional
Section: universe/python
Source: statsmodels
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 20584
Depends: python3-numpy, python3-pandas, python3-patsy (>= 0.5.1), python3-scipy, python3:any, python3-statsmodels-lib (>= 0.11.1-5)
Recommends: python3-matplotlib, python3-joblib, python3-colorama, python3-cvxopt
Suggests: python-statsmodels-doc
Filename: pool/universe/s/statsmodels/python3-statsmodels_0.11.1-5_all.deb
Size: 3943684
MD5sum: 73110e9f127fa4cba7bb42c13ddede15
SHA1: d143d6a43081ae4bb748dd2902e1d420b4764d48
SHA256: 72f9cd0a594d41a049af37456b67ae03630e1e7f6d1f17d1c0c7701a90360a33
SHA512: a5370052d74331c164652e6093e76dbb55b2010c34c4cf396243c1b54a1cd3afbf22d0ab3fd70c5426af5cbd7d7f11a0d23c5bcef28d169b44d0400958565947
Homepage: https://www.statsmodels.org
Description-en: Python3 module for the estimation of statistical models
statsmodels Python3 module provides classes and functions for the
estimation of several categories of statistical models. These
currently include linear regression models, OLS, GLS, WLS and GLS
with AR(p) errors, generalized linear models for several distribution
families and M-estimators for robust linear models. An extensive list
of result statistics are available for each estimation problem.
Description-md5: e06fdd3c54e031f4cb633c76da9ed6f8