Package: sandbox 0.2.3
Michael Dietze
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:
sandbox_0.2.3.tar.gz
sandbox_0.2.3.tar.gz(r-4.7-any)sandbox_0.2.3.tar.gz(r-4.6-any)
sandbox_0.2.3.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/coffeemuggler/sandbox/issues
- sample - Example Grain Size Data
- sample_osl_aliquots - Aliquots Prepared to Measured Virtually
Last updated from:22a699e231. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 138 | ||
| source / vignettes | OK | 253 | ||
| linux-release-x86_64 | OK | 138 | ||
| wasm-release | OK | 125 |
Exports:add_Populationadd_Ruleconvert_unitsget_RuleBookmake_Samplemeasure_SAR_OSLprepare_Aliquotprepare_Sievingprepare_Subsampleset_Parameterset_Rule
Dependencies:askpassbbmlebdsmatrixcurldata.tabledeldirDEoptimdeSolvehttrinterpjsonlitekhromalamWlatticeLuminescenceMASSMatrixmatrixStatsmclustmimeminpack.lmmvtnormnumDerivopensslR6RcppRcppArmadilloRcppEigenRcppParallelRLumModelshapesysXML
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Probabilistic Numerical Modelling of Sediment Properties | sandbox-package sandbox |
| Add a Population to a Rule Book | add_Population |
| Add a Rule to a Rule Book | add_Rule |
| Convert between phi units and micrometers | convert_units |
| Get One of a Series of Predefined Rule Books for a Model Run. | get_RuleBook |
| Create a Virtual Sample. | make_Sample |
| Measure an aliquot with the CW SAR OSL protocol | measure_SAR_OSL |
| Prepare Aliquots from Sample Dataset | prepare_Aliquot |
| Sieve a Sample | prepare_Sieving |
| Prepare Subsamples from a Sample Dataset | prepare_Subsample |
| Example Grain Size Data | sample |
| Aliquots Prepared to Measured Virtually | sample_osl_aliquots |
| Set Profile- and Grain-Specific Model Parameters. | set_Parameter |
| Set depth-dependent rule for model parameter. | set_Rule |