21:13 Po-Chuan Hsieh (sunpoet) 

math/py-statsmodels: Update to 0.14.0

Changes:	https://github.com/statsmodels/statsmodels/releases
		https://www.statsmodels.org/stable/release/index.html

    9826959

13:41 Po-Chuan Hsieh (sunpoet) 

math/py-statsmodels: Update to 0.13.0

Changes:	https://github.com/statsmodels/statsmodels/releases
		https://www.statsmodels.org/stable/release/index.html

    b931cf4

07:15 sunpoet 

Update to 0.12.0

Changes:	https://github.com/statsmodels/statsmodels/releases
		https://www.statsmodels.org/stable/release/index.html

 

19:23 sunpoet 

Convert PORTDOCS and PORTEXAMPLES to PLIST entries

 

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.

 

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)

 

09:39 antoine 

Cleanup plist

 

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

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