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
sandbox_0.2.1.zip(r-4.7)sandbox_0.2.1.zip(r-4.6)sandbox_0.2.1.zip(r-4.5)
sandbox_0.2.1.tgz(r-4.6-any)sandbox_0.2.1.tgz(r-4.5-any)
sandbox_0.2.1.tar.gz(r-4.7-any)sandbox_0.2.1.tar.gz(r-4.6-any)
sandbox_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sandbox/json (API)

# 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:

4.43 score 1 stars 541 scripts 286 downloads 11 exports 33 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK170
linux-release-x86_64OK136
macos-release-arm64OK78
macos-oldrel-arm64OK94
windows-develOK69
windows-releaseOK72
windows-oldrelOK88
wasm-releaseOK143

Exports:add_Populationadd_Ruleconvert_unitsget_RuleBookmake_Samplemeasure_SAR_OSLprepare_Aliquotprepare_Sievingprepare_Subsampleset_Parameterset_Rule

Dependencies:askpassbbmlebdsmatrixcurldata.tabledeldirDEoptimdeSolvehttrinterpjsonlitekhromalamWlatticeLuminescenceMASSMatrixmatrixStatsmclustmimeminpack.lmmvtnormnumDerivopensslR6RcppRcppArmadilloRcppEigenRcppParallelRLumModelshapesysXML