math/py-statsmodels 0.15.0

Bump PORTREVISIONs of all users of math/mpc that we just updated to version 1.1.0 (via revision 464079).

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

Give xmj@'s ports back to the pool

PR:		226157
Submitted by:	xmj

Fix WWW

Approved by:	portmgr (blanket)

Convert Python ports to FLAVORS.

Ports using USE_PYTHON=distutils are now flavored.  They will
  automatically get flavors (py27, py34, py35, py36) depending on what
  versions they support.

  There is also a USE_PYTHON=flavors for ports that do not use distutils
  but need FLAVORS to be set.  A USE_PYTHON=noflavors can be set if
  using distutils but flavors are not wanted.

  A new USE_PYTHON=optsuffix that will add PYTHON_PKGNAMESUFFIX has been
  added to cope with Python ports that did not have the Python
  PKGNAMEPREFIX but are flavored.

  USES=python now also exports a PY_FLAVOR variable that contains the
  current python flavor.  It can be used in dependency lines when the
  port itself is not python flavored.  For example, deskutils/calibre.

  By default, all the flavors are generated.  To only generate flavors
  for the versions in PYTHON2_DEFAULT and PYTHON3_DEFAULT, define
  BUILD_DEFAULT_PYTHON_FLAVORS in your make.conf.

  In all the ports with Python dependencies, the *_DEPENDS entries MUST
  end with the flavor so that the framework knows which to build/use.
  This is done by appending '@${PY_FLAVOR}' after the origin (or
  @${FLAVOR} if in a Python module with Python flavors, as the content
  will be the same).  For example:

    RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}six>0:devel/py-six@${PY_FLAVOR}

PR:		223071
Reviewed by:	portmgr, python
Sponsored by:	Absolight
Differential Revision:	https://reviews.freebsd.org/D12464

- Update to 0.8.0

PR:		219751
Submitted by:	maintainer

Change all occurrences of xmj@chaot.net to johannes@perceivon.net as the owner requested.

This only affects "Created by" lines with one exception: devel/uclcmd. There the maintainer is changed. This was overlooked in r416918.

Approved by: junovitch (mentor)

Change MAINTAINER from xmj@FreeBSD.org to johannes@perceivon.net

PR:           210265
Submitted by: Johannes Jost Meixner (johannes@perceivon.net)
Approved by:  pi (mentor)

Several ports: Change MAINTAINER from xmj@chaot.net to xmj@FreeBSD.org

PR:		209746
Submitted by:	xmj

- Fix trailing whitespace in pkg-descrs, categories [g-n]*

Approved by:	portmgr blanket

Remove ${PORTSDIR}/ from dependencies, categories m, n, o, and p.

With hat:	portmgr
Sponsored by:	Absolight

- Switch to options helpers - While here, add some NO_ARCHes and couple missing PORT_OPTIONS=DOCS

Approved by:	portmgr blanket

math/py-statsmodels: fix build- and plist issues

- fix build issues through adding Cython to BUILD_DEPENDSi
- fix plist issues

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.

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)

Update "BSD" license in math category

Cleanup plist

- Convert ports of math/ to new USES=python

Approved by:	portmgr (implicit)

Update the default version of GCC in the Ports Collection from GCC 4.7.4 to GCC 4.8.3.

Part II, Bump PORTREVISIONs.

PR:		192025
Tested by:	antoine (-exp runs)
Approved by:	portmgr (implicit)

Mark BROKEN: Fails to build

building [html]: targets for 66 source files that are out of date
updating environment: 1739 added, 0 changed, 0 removed
reading sources... [  0%] anova
Traceback (most recent call last):
...
  File "/wrkdirs/usr/ports/math/py-statsmodels/work/statsmodels-0.5.0/docs/sphinxext/ipython_directive.py", line 589, in setup
    store_history=False)
  File "/wrkdirs/usr/ports/math/py-statsmodels/work/statsmodels-0.5.0/docs/sphinxext/ipython_directive.py", line 260, in process_input_line
    source_raw = splitter.source_raw_reset()[1]
AttributeError: 'IPythonInputSplitter' object has no attribute 'source_raw_reset'
*** [do-build] Error code 1

Reported by:	pkg-fallout

Update the default version of GCC used in the Ports Collection from GCC 4.6.4 to GCC 4.7.3.  This entails updating the lang/gcc port as well as changing the default in Mk/bsd.default-versions.mk.

Part II, Bump PORTREVISIONs.

PR:		182136
Supported by:	Christoph Moench-Tegeder <cmt@burggraben.net> (fixing many ports)
Tested by:	bdrewery (two -exp runs)

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
* nonparametric: (Univariate) kernel density estimators
* datasets: Datasets to be distributed and used for examples and in testing.
* stats: a wide range of statistical tests, diagnostics and specification tests
* iolib: Tools for reading Stata .dta files into numpy arrays, printing table
  output to ascii, latex, and html
* miscellaneous models
* sandbox: statsmodels contains a sandbox folder with code in various stages of
* developement and testing which is not considered "production ready", including
  Mixed models, GARCH and GMM estimators, kernel regression, panel data models.

WWW: https://www.github.com/statsmodels/statsmodels

PR:		ports/183932
Submitted by:	Johannes Jost Meixner <xmj chaot.net>