Metadata-Version: 1.1
Name: pyirr
Version: 0.84.1.1
Summary: Python implementation of the R package IRR
Home-page: https://gitlab.com/Rickdkk/pyrr
Author: Rick de Klerk
Author-email: r.de.klerk@umcg.nl
License: GNU GPLv3
Download-URL: https://gitlab.com/Rickdkk/pyrr
Description: Coefficients of Interrater Reliability and Agreement
        ====================================================
        
        Python implementation of the R package `IRR <https://CRAN.R-project.org/package=irr>`_.
        For documentation please head over to the R package page, they put in a lot of effort for the documentation!
        
        How to install
        --------------
        Just run::
        
            pip install pyirr
        
        Example
        -------
        A simple example::
        
            from pyirr import read_data, intraclass_correlation
        
            data = read_data("anxiety")  # loads example data
            intraclass_correlation(data, "twoway", "agreement")
        
        Returns::
        
            ==================================================
                      Intraclass Correlation Results
            ==================================================
            Model: twoway
            Type: agreement
        
            Subjects = 20
            Raters = 3
            ICC(A,1) = 0.20
        
            F-Test, H0: r0 = 0 ; H1 : r0 > 0
            F(19.00,39.75) = 1.83, p = 0.0543
        
            95%-Confidence Interval for ICC Population Values:
            -0.039 < ICC < 0.494
            ==================================================
        
        Another simple example::
        
            from pyirr import read_data, kappam_fleiss
        
            data = read_data("anxiety")  # loads example data
            kappam_fleiss(data, detail=True)
        
        Returns::
        
            ==================================================
                        Fleiss` Kappa for m Raters
            ==================================================
            Subjects = 30
              Raters = 6
               Kappa = 0.430
        
                   z = 17.652
             p-value = 0.000
        
                                     Kappa       z  p.value
            1. Depression            0.245   5.192      0.0
            2. Personality Disorder  0.245   5.192      0.0
            3. Schizophrenia         0.520  11.031      0.0
            4. Neurosis              0.471   9.994      0.0
            5. Other                 0.566  12.009      0.0
            ==================================================
        
Keywords: statistics
Platform: UNKNOWN
