| non port: math/py-statsmodels/distinfo |
|
SVNWeb
|
Number of commits found: 19 |
|
Sun, 7 May 2023
|
[ 21:13 Po-Chuan Hsieh (sunpoet)  ]    9826959
math/py-statsmodels: Update to 0.14.0
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Fri, 30 Dec 2022
|
[ 09:05 Po-Chuan Hsieh (sunpoet) ] 4011c72
math/py-statsmodels: Update to 0.13.5
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Mon, 7 Mar 2022
|
[ 18:11 Po-Chuan Hsieh (sunpoet) ] 5e7e577
math/py-statsmodels: Update to 0.13.2
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Sun, 21 Nov 2021
|
[ 18:20 Po-Chuan Hsieh (sunpoet) ] 9e627bb
math/py-statsmodels: Update to 0.13.1
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Mon, 1 Nov 2021
|
[ 13:41 Po-Chuan Hsieh (sunpoet) ] b931cf4
math/py-statsmodels: Update to 0.13.0
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Sat, 6 Feb 2021
|
[ 20:47 sunpoet ]  
Update to 0.12.2
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Sun, 8 Nov 2020
|
[ 17:20 sunpoet ]
Update to 0.12.1
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Sun, 30 Aug 2020
|
[ 07:15 sunpoet ]
Update to 0.12.0
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Sat, 22 Feb 2020
|
[ 15:56 sunpoet ]
Update to 0.11.1
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Sat, 25 Jan 2020
|
[ 18:26 sunpoet ]
Update to 0.11.0
Changes: https://github.com/statsmodels/statsmodels/releases
https://www.statsmodels.org/stable/release/index.html
|
|
Sun, 8 Dec 2019
|
[ 17:03 sunpoet ]
Update to 0.10.2
Changes: https://github.com/statsmodels/statsmodels/releases
|
|
Sun, 21 Jul 2019
|
[ 20:48 sunpoet ]
Update to 0.10.1
Changes: https://github.com/statsmodels/statsmodels/releases
|
|
Thu, 27 Jun 2019
|
[ 20:04 sunpoet ]
Update to 0.10.0
Changes: https://github.com/statsmodels/statsmodels/releases
|
|
Tue, 15 May 2018
|
[ 23:59 sunpoet ]
Update to 0.9.0
Changes: https://github.com/statsmodels/statsmodels/releases
https://github.com/statsmodels/statsmodels/commits/master
|
|
Sun, 25 Feb 2018
|
[ 05:33 sunpoet ]
Update to genuine 0.8.0
- Change MASTER_SITES to CHEESESHOP
- Remove BUILD_DEPENDS
- Fix version requirement of RUN_DEPENDS
- Use SHEBANG_GLOB
- Cosmetic change
- Bump PORTREVISION for package change
- Take maintainership
Changes: https://github.com/statsmodels/statsmodels/releases
https://github.com/statsmodels/statsmodels/commits/maintenance/0.8.x
|
|
Sun, 11 Jun 2017
|
[ 16:53 miwi ]
- Update to 0.8.0
PR: 219751
Submitted by: maintainer
|
|
Fri, 22 May 2015
|
[ 04:37 xmj ]
math/py-statsmodels: switch to GitHub, clean up stuff
- switch upstream to GitHub
- as there is no new release available, bump PORTREVISION
- remove Sphinx build from docs option, due to recursive imports.
|
|
Tue, 9 Dec 2014
|
[ 17:33 xmj ]
math/py-statsmodels: update to 0.6.1, unbreak, modernize
- update to 0.6.1 and unbreak
- replace noegginfo with concurrent in USE_PYTHON
Differential Revision: https://reviews.freebsd.org/D1287
Approved by: swills (mentor)
|
|
Fri, 22 Nov 2013
|
[ 12:40 wg ]
math/py-statsmodels: Complement to SciPy for statistical computations
Statsmodels is a Python package that provides a complement to scipy for
statistical computations including descriptive statistics and estimation and
inference for statistical models.
Main Features:
* linear regression models: GLS (including WLS and LS aith AR errors) and OLS.
* glm: Generalized linear models with support for all of the one-parameter
exponential family distributions.
* discrete: regression with discrete dependent variables, including Logit,
Probit, MNLogit, Poisson, based on maximum likelihood estimators
* rlm: Robust linear models with support for several M-estimators.
* tsa: models for time series analysis - univariate: AR, ARIMA; multivariate:
VAR and structural VAR (Only the first 15 lines of the commit message are shown above  )
|
Number of commits found: 19 |
As an Amazon Associate I earn from qualifying purchases.