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RBaM - Bayesian Modeling: Estimate a Computer Model and Make Uncertain Predictions

An interface to the 'BaM' (Bayesian Modeling) engine, a 'Fortran'-based executable aimed at estimating a model with a Bayesian approach and using it for prediction, with a particular focus on uncertainty quantification. Classes are defined for the various building blocks of 'BaM' inference (model, data, error models, Markov Chain Monte Carlo (MCMC) samplers, predictions). The typical usage is as follows: (1) specify the model to be estimated; (2) specify the inference setting (dataset, parameters, error models...); (3) perform Bayesian-MCMC inference; (4) read, analyse and use MCMC samples; (5) perform prediction experiments. Technical details are available (in French) in Renard (2017) <https://hal.science/hal-02606929v1>. Examples of applications include Mansanarez et al. (2019) <doi:10.1029/2018WR023389>, Le Coz et al. (2021) <doi:10.1002/hyp.14169>, Perret et al. (2021) <doi:10.1029/2020WR027745>, Darienzo et al. (2021) <doi:10.1029/2020WR028607> and Perret et al. (2023) <doi:10.1061/JHEND8.HYENG-13101>.

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bayesian-inferencemodelingstatisticsuncertainty

4.63 score 1 stars 1 dependents 47 scripts 365 downloads

ShiftHappens - Detecting, Visualizing and Estimating Shifts

Detecting, visualizing and estimating shifts, with a specific focus on stage-discharge rating shifts. The main methods are described in Darienzo et al. (2021) <doi:10.1029/2020WR028607> and Mansanarez et al. (2019) <doi:10.1029/2018WR023389>. See also 'BayDERS' <https://github.com/MatteoDarienzo/BayDERS> for similar tools, and 'RatingShiftHappens' <https://github.com/Felipemendezrios/RatingShiftHappens> for an older version of this package.

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4.54 score 2 stars 23 scripts 209 downloads

sequenceR - A Simple Sequencer for Data Sonification

A rudimentary sequencer to define, manipulate and mix sound samples. The underlying motivation is to sonify data, as demonstrated in the blog <https://globxblog.github.io/>, the presentation by Renard and Le Bescond (2022, <https://hal.science/hal-03710340v1>) or the poster by Renard et al. (2023, <https://hal.inrae.fr/hal-04388845v1>).

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audiosonification

4.41 score 3 stars 17 scripts 233 downloads

musicXML - Data Sonification using 'musicXML'

A set of tools to facilitate data sonification and handle the 'musicXML' format <https://usermanuals.musicxml.com/MusicXML/Content/XS-MusicXML.htm>. Several classes are defined for basic musical objects such as note pitch, note duration, note, measure and score. Moreover, sonification utilities functions are provided, e.g. to map data into musical attributes such as pitch, loudness or duration. A typical sonification workflow hence looks like: get data; map them to musical attributes; create and write the 'musicXML' score, which can then be further processed using specialized music software (e.g. 'MuseScore', 'GuitarPro', etc.). Examples can be found in the blog <https://globxblog.github.io/>, the presentation by Renard and Le Bescond (2022, <https://hal.science/hal-03710340v1>) or the poster by Renard et al. (2023, <https://hal.inrae.fr/hal-04388845v1>).

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musicxmlsonification

4.38 score 2 stars 12 scripts 227 downloads

HydroPortailStats - 'HydroPortail' Statistical Functions

Statistical functions used in the French 'HydroPortail' <https://hydro.eaufrance.fr/>. This includes functions to estimate distributions, quantile curves and uncertainties, along with various other utilities. Technical details are available (in French) in Renard (2016) <https://hal.inrae.fr/hal-02605318>.

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hydrologystatistical-distributionsstatistics

3.88 score 3 stars 2 scripts 267 downloads