This project contains the implementation and examples of the publication `MM/GW, CE, "A rejection Sampler extending GUM-S1", Metrologia, 2021` [TODO].
copyright Manuel Marschall (PTB) 2021
This software is licensed under the BSD-like license:
Redistribution and use in source and binary forms, with or without
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this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
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# DISCLAIMER
This software was developed at Physikalisch-Technische Bundesanstalt
(PTB). The software is made available "as is" free of cost. PTB assumes
no responsibility whatsoever for its use by other parties, and makes no
guarantees, expressed or implied, about its quality, reliability, safety,
suitability or any other characteristic. In no event will PTB be liable
for any direct, indirect or consequential damage arising in connection
# A Rejection sampler extending GUM-S1 uncertainty evaluation
This project contains the implementation and examples of the publication `MM/GW, CE, "A rejection Sampler extending GUM-S1", Metrologia, 2021` [TODO]
The general aim is to provide a simple to implement sampling scheme that potentially extends the GUM-S1 uncertainty evaluation to allow for informative prior incorporation regarding the measurand and variance of the data.
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@@ -12,4 +38,19 @@ The library is written and tested using the following Python packages and versio
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@@ -12,4 +38,19 @@ The library is written and tested using the following Python packages and versio
- numpy == 1.20.2
- numpy == 1.20.2
- scipy == 1.6.2
- scipy == 1.6.2
- matplotlib == 3.3.4
- matplotlib == 3.3.4
- emcee == 3.1.0
- emcee == 3.1.0
\ No newline at end of file
For the examples under `code/Notebooks` a Jupyter Notebook environment is required.
# Contact and troubleshooting
For direct contact, please write a quick mail to `manuel.marschall@ptb.de`.
Alternatively, for problems regarding the code, its functionality oder bug-reports, please create an issue.
## Documentation
A a compiled html directory of the documentation can be downloaded here: