RGLUEANN: Non-linear probabilistic data-driven modelling with RGLUEANN
In rogiersbart/RGLUEANN: Non-linear probabilistic data-driven modelling using general likelihood uncertainty estimation and artificial neural networks
RGLUEANN R Documentation
Non-linear probabilistic data-driven modelling with RGLUEANN
Description
The RGLUEANN package provides basic functionality for training a
GLUE-ANN model ensemble, performing cross-validation and making
predictions.
References
Rogiers B, Mallants D, Batelaan O, Gedeon M,
Huysmans M and Dassargues A (2012). Estimation of
hydraulic conductivity and its uncertainty from
grain-size data using GLUE and artificial neural
networks. Mathematical Geosciences, 44(6),
pp. 739-763. http://dx.doi.org/10.1007/s11004-012-9409-2.
Rogiers B (2013). Multi-scale aquifer
characterization: from outcrop analogue,
direct-push and borehole investigations towards
improved groundwater flow models. PhD thesis,
Faculty of Science, KU Leuven. ISBN
978-90-8649-672-3 - D/2013/10.705/87 - ISSN
0250-7803, http://rogiersbart.blogspot.com/p/publications.html.
rogiersbart/RGLUEANN documentation built on June 4, 2024, 9:53 a.m.
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| RGLUEANN | R Documentation |
Non-linear probabilistic data-driven modelling with RGLUEANN
Description
The RGLUEANN package provides basic functionality for training a GLUE-ANN model ensemble, performing cross-validation and making predictions.
References
Rogiers B, Mallants D, Batelaan O, Gedeon M, Huysmans M and Dassargues A (2012). Estimation of hydraulic conductivity and its uncertainty from grain-size data using GLUE and artificial neural networks. Mathematical Geosciences, 44(6), pp. 739-763. http://dx.doi.org/10.1007/s11004-012-9409-2.
Rogiers B (2013). Multi-scale aquifer characterization: from outcrop analogue, direct-push and borehole investigations towards improved groundwater flow models. PhD thesis, Faculty of Science, KU Leuven. ISBN 978-90-8649-672-3 - D/2013/10.705/87 - ISSN 0250-7803, http://rogiersbart.blogspot.com/p/publications.html.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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