Metadata-Version: 2.1
Name: scikits.bootstrap
Version: 1.0.0
Summary: Bootstrap confidence interval estimation routines for SciPy
Home-page: http://github.com/cgevans/scikits-bootstrap
Author: Constantine Evans
Author-email: cevans@evanslabs.org
License: Modified BSD
Description: [![Travis](https://travis-ci.org/cgevans/scikits-bootstrap.svg?branch=master)](https://travis-ci.org/cgevans/scikits-bootstrap)
        
        scikits-bootstrap
        =================
        
        Scikits.bootstrap provides bootstrap confidence interval algorithms for scipy.
        
        At present, it is rather feature-incomplete and in flux. However, the functions
        that have been written should be relatively stable as far as results.
        
        Much of the code has been written based off the descriptions from Efron and
        Tibshirani's Introduction to the Bootstrap, and results should match the results
        obtained from following those explanations. However, the current ABC code is
        based off of the modified-BSD-licensed R port of the Efron bootstrap code, as
        I do not believe I currently have a sufficient understanding of the ABC method
        to write the code independently.
        
        In any case, please contact me (Constantine Evans <cevans@evanslabs.org>) with
        any questions or suggestions. I'm trying to add documentation, and will
        be adding tests as well. I'm especially interested, however, in how the API
        should actually look; please let me know if you think the package should be
        organized differently.
        
        The package is licensed under the Modified BSD License. It is supported in part
        by the Evans Foundation.
        
        Version Info
        ============
        
        v1.0.0: scikits.bootstrap now uses pyerf, which means that it doesn't actually
                need scipy at all.  It should work with PyPy, has some improved error
        		and warning messages, and should be a bit faster in many cases.  The old
        		ci_abc function has been removed: use method='abc' instead.
        
        v0.3.3: Bug fixes.  Warnings have been cleaned up, and are implemented for BCa
                when all statistic values are equal (a common confusion in prior versions).
        		Related numpy warnings are now suppressed.  Some tests on Python 2 were
        		fixed, and the PyPI website link is now correct.
        
        v0.3.2: This version contains various fixes to allow compatibility with Python
                3.3. While I have not used the package extensively with Python 3, all
                tests now pass, and importing works properly. The compatibility changes
                slightly modify the output of bootstrap_indexes, from a Python list to
                a Numpy array that can be iterated over in the same manner. This should
                only be important in extremely unusual situations.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
