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-any)sandbox_0.2.1.zip(r-4.6-any)sandbox_0.2.1.zip(r-4.5-any)
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:

4.48 score 1 stars 600 scripts 301 downloads 11 exports 33 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK158
linux-releaseOK106
macos-releaseOK147
macos-oldrelOK139
windows-develOK79
windows-releaseOK99
windows-oldrelOK76
wasm-releaseOK106

Exports:add_Populationadd_Ruleconvert_unitsget_RuleBookmake_Samplemeasure_SAR_OSLprepare_Aliquotprepare_Sievingprepare_Subsampleset_Parameterset_Rule

Dependencies:askpassbbmlebdsmatrixcurldata.tabledeldirDEoptimdeSolvehttrinterpjsonlitekhromalamWlatticeLuminescenceMASSMatrixmatrixStatsmclustmimeminpack.lmmvtnormnumDerivopensslR6RcppRcppArmadilloRcppEigenRcppParallelRLumModelshapesysXML