0.11.1-1 : statsmodels package : Ubuntu

statsmodels 0.11.1-1 source package in Ubuntu

Changelog

statsmodels (0.11.1-1) unstable; urgency=medium

  * Upstream bugfix release.
  * Drop patches applied upstream, refresh others.
  * Don't require a warning scipy only produces on some architectures.
  * Warn that Markov(Auto)regression can give wrong answers on armhf
    and DynamicFactor on ppc64el, and xfail tests.
  * Upload to unstable.  Closes: #950429.
  * Re-enable checking the test suite.

 -- Rebecca N. Palmer <email address hidden>  Mon, 24 Feb 2020 22:49:06 +0000

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe python

Downloads

File Size SHA-256 Checksum
statsmodels_0.11.1-1.dsc 3.4 KiB b97c29386f4fb9f7027056907bf731550715198888ccd790db044d72448173a9
statsmodels_0.11.1.orig.tar.gz 11.0 MiB 0c08dfd09d34424de6074b989c8bdf60e18f506a7d28c24b15e01f6e1cb59724
statsmodels_0.11.1-1.debian.tar.xz 30.2 KiB 8f87b68af63751c2192fb60c9bc35f1133f60418f64d259fddf9a6a490010d6d

No changes file available.

Binary packages built by this source

python-statsmodels-doc: documentation and examples for statsmodels

 Statsmodels Python modules are providing 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.
 .
 This package contains HTML documentation and example scripts for
 python-statsmodels.

python3-statsmodels: 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.

python3-statsmodels-lib: Python3 low-level implementations and bindings for statsmodels

 Statsmodels is a Python module for the estimation of statistical models.
 .
 This package contains internal libraries for python3-statsmodels. Users
 should not need to install it directly.

python3-statsmodels-lib-dbgsym: debug symbols for python3-statsmodels-lib