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]

sandbox_0.2.1.tar.gz
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sandbox_0.2.1.tgz(r-4.5-emscripten)
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:

4.14 score 1 stars 274 scripts 208 downloads 11 exports 33 dependencies

Last updated from:b21621d914. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK225
linux-release-x86_64OK138
macos-release-arm64OK150
macos-oldrel-arm64OK151
windows-develOK88
windows-releaseOK73
windows-oldrelOK67
wasm-releaseOK132

Exports:add_Populationadd_Ruleconvert_unitsget_RuleBookmake_Samplemeasure_SAR_OSLprepare_Aliquotprepare_Sievingprepare_Subsampleset_Parameterset_Rule

Dependencies:askpassbbmlebdsmatrixcurldata.tabledeldirDEoptimdeSolvehttrinterpjsonlitekhromalamWlatticeLuminescenceMASSMatrixmatrixStatsmclustmimeminpack.lmmvtnormnumDerivopensslR6RcppRcppArmadilloRcppEigenRcppParallelRLumModelshapesysXML