Algorithm: IRANKSUM
Description: 
IRANKSUM is a Prior NearIgnorance Dirichlet Process (IDP) based test.
IRANKSUM(X,Y) computes the lower and upper posterior probability of the hypothesis P(X <= Y)>1/2 given two sequences of unpaired observations X and Y. IRANKSUM(...) performs a hypothesis test for P(X <= Y)>1/2 with posterior ... (show more) 
Paper:  http://arxiv.org/abs/1402.2755
Note that in the cloudrunner release of the software only some functionalities are actived. To use all the functionalities, download the Matlab or R sources from http://www.idsia.ch/~alessio/IDP.html 
Tags:  test Wilcoxon Bayesian ranksum 
Usage: 
Algorithm is public. Viewed 3533 times, called 147 times 
Upload: 
0 votes 01/31/2014 10:44 a.m. (version #1) 
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Using this algorithm in your local MATLAB environment is easy: Click here for instructions!
Usage Instructions for CloudRunner Client

Download the CloudRunner Client by clicking here and place the downloaded file in your MATLAB working directory.

Inside MATLAB, initialize the CloudRunner Client by calling CloudRunner:
>> CloudRunnerA login dialog will prompt for your CloudRunner mail address and password. For a start, you can leave the dialog empty and just click "Connect".
Alternatively, you can provide the login credentials (or empty strings to skip login) as a parameter and hence skip the login dialog. This is useful when using CloudRunner in noninteractive scripts.
>> CloudRunner('mail@example.com', 'password') 
Select this algorithm by its URL. Selecting an algorithm creates the lambda function that proxies calls to the algorithm to the server for execution:
>> CloudRunnerSelect('http://www.cloudrunner.eu/algorithm/158/iranksum/version/1/')For the sake of convenience, you can also use the algorithm ID instead of its URL for public algorithms.

Call functions from the algorithm like any regular local function.
Note: You can find further information on the help page.
Comments
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#1:
Alessio Benavoli
on 05/15/2014 2:42 p.m.
Note that in the cloudrunner release of the software only some functionalities are actived. To use all the functionalities, download the Matlab or R sources from
http://www.idsia.ch/~alessio/IDP.html