TST: sparse/basic: enable bool index tests for LIL
DOC: matfunc release notes
Merge pull request #2689 from cowlicks/fancy-indexing

ENH: sparse: Fancy indexing for CSR and CSC matrices

Add initial fancy indexing support for CSR and CSC.
DOC: use double back-ticks to improve rendering through github
Merge pull request #2722 from argriffing/release-notes-13

DOC: new/updated matfuncs implementation descriptions for 0.13 release notes
BUG: special: add asymptotic expansions to shichi

Enable also the si+ci tests, they seem to work.
ENH: add N-dimensional integration function.

New n-dimensional integration routine 'nquad' included in scipy.integrate.
MAINT: some code formatting changes in integrate.nquad.
MAINT: less in-place modification
MAINT: less complicated variable args
MAINT: merge two functions
BUG: recursion termination condition
MAINT: fix documentation formatting and PEP8 for integrate.nquad code.
DOC: fix a few issues in the integrate examples.
BUG: fix nquad issue for depth=1 integration.  Add tests against dbl/tplquad.
DOC: improve clarity in integrate.nquad docstring.
DOC: add integrate.nquad to 0.13.0 release notes.
Merge branch 'pr/2510' into master.

Reviewed as https://github.com/scipy/scipy/pull/2510
BUG+ENH: stats: Improve the 'fit' method of norm_gen, gamma_gen and beta_gen.

Closes github issue gh-2514.

* scipy.misc.doccer: Added the 'inherit_docstring_from' decorator for
  inheriting  docstrings in methods of subclasses.
* scipy.stats.beta_gen:
  * Correctly handle keyword arguments that fix parameters.
  * When both floc and fscale are given, the parameters are estimated by MLE
    (as stated in the docstring). Previously it had been using the method
    of moments.
  * When both floc and fscale are given, an error is raised if any data
    values are not in the open interval (floc, floc+fscale).
* scipy.stats.gamma_gen:
  * Correctly handle the keyword arguments that fix parameters.
  * A regularization term was added in the denominator of the formula for
    estimating the shape parameter a in gamma_gen._fitstart.
* scipy.stats.norm_gen: Implement a 'fit' method that uses the explicit
  formulas for the maximum likelihood estimation of the parameters.
Merge pull request #2711 from rgommers/vecentropy

BUG: fix test failure for rv_discrete.entropy with numpy 1.5.1.  Closes ...