Metadata-Version: 2.1
Name: hfscanstat
Version: 0.0.1
Summary: A Python implementation of the hypothesis-free scan statistic
Home-page: https://github.com/jazon33y/hfscanstat
Author: Jason O'Rawe
Author-email: jazon33y@gmail.com
License: Apache Software License 2.0
Description: <!--
        
        #################################################
        ### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
        #################################################
        # file to edit: 99_index.ipynb
        # command to build the docs after a change: nbdev_build_docs
        
        -->
        
        # hfscanstat
        
        > A python implementation of the hypothesis-free multiple scan statistic with variable window for detecting clusters in point processes (L. Cucala. A hypothesis-free multiple scan statistic with variable window. Biom. J., 50 (2008), pp. 299-310). 
        
        
        ## Install
        
        `pip install hfscanstat`
        
        ## How to use
        
        Using example data from Knox, G. (1959). Secular pattern of congenital oesophageal atresia. British Journal of Preventive Social Medecine 13, 222–226.
        <div class="codecell" markdown="1">
        <div class="input_area" markdown="1">
        
        ```python
        knox_1959 = [170, 316, 445, 468, 938, 1034, 1128, 1233, 1248, 1249,
                1252, 1259, 1267, 1305, 1385, 1388, 1390, 1446, 1454,
                1458, 1461, 1491, 1583, 1699, 1702, 1787, 1924, 1974,
                2049, 2051, 2067, 2075, 2108, 2151, 2174, 2191]
        
        clusters = get_clusters(knox_1959)
        
        print(clusters)
        ```
        
        </div>
        <div class="output_area" markdown="1">
        
                    X_i       X_j  i   j         I_H_F            ps
            0  0.525977  0.653637  7  21  7.319199e+14 -6.661338e-16
        
        
        </div>
        
        </div>
        
Keywords: scan statistics point-process
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
