Package: sandbox 0.2.1

sandbox: Probabilistic Numerical Modelling of Sediment Properties

A flexible framework for definition and application of time/depth- based rules for sets of parameters for single grains that can be used to create artificial sediment profiles. Such profiles can be used for virtual sample preparation and synthetic, for instance, luminescence measurements.

Authors:Michael Dietze [aut, cre], Sebastian Kreutzer [aut]

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sandbox.pdf |sandbox.html✨
sandbox/json (API)
NEWS

# Install 'sandbox' in R:
install.packages('sandbox', repos = c('https://coffeemuggler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/coffeemuggler/sandbox/issues

Datasets:

On CRAN:

Conda:

4.09 score 1 stars 248 scripts 224 downloads 11 exports 33 dependencies

Last updated 9 months agofrom:b21621d914. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:add_Populationadd_Ruleconvert_unitsget_RuleBookmake_Samplemeasure_SAR_OSLprepare_Aliquotprepare_Sievingprepare_Subsampleset_Parameterset_Rule

Dependencies:askpassbbmlebdsmatrixcurldata.tabledeldirDEoptimdeSolvehttrinterpjsonlitekhromalamWlatticeLuminescenceMASSMatrixmatrixStatsmclustmimeminpack.lmmvtnormnumDerivopensslR6RcppRcppArmadilloRcppEigenRcppParallelRLumModelshapesysXML