Package: rstanbdp 0.0.2

rstanbdp: Bayesian Deming Regression for Method Comparison

Regression methods to quantify the relation between two measurement methods are provided by this package. The focus is on a Bayesian Deming regressions family. With a Bayesian method the Deming regression can be run in a traditional fashion or can be run in a robust way just decreasing the degree of freedom d.f. of the sampling distribution. With d.f. = 1 an extremely robust Cauchy distribution can be sampled. Moreover, models for dealing with heteroscedastic data are also provided. For reference see G. Pioda (2024) <https://piodag.github.io/bd1/>.

Authors:Giorgio Pioda [aut, cre]

rstanbdp_0.0.2.tar.gz
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rstanbdp_0.0.2.tgz(r-4.6-x86_64)rstanbdp_0.0.2.tgz(r-4.6-arm64)rstanbdp_0.0.2.tgz(r-4.5-x86_64)rstanbdp_0.0.2.tgz(r-4.5-arm64)
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rstanbdp_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rstanbdp/json (API)

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

Bug tracker:https://github.com/piodag/rstanbdp/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • glycHem - Method comparison of glycated hemoglobin measurement

On CRAN:

Conda:

onetbbcpp

2.70 score 1 stars 290 downloads 9 exports 104 dependencies

Last updated from:bd25fd4d79. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK400
linux-devel-x86_64OK445
source / vignettesOK404
linux-release-arm64OK391
linux-release-x86_64OK439
macos-release-arm64OK335
macos-release-x86_64OK597
macos-oldrel-arm64OK344
macos-oldrel-x86_64OK679
windows-devel-arm64OK588
windows-devel-x86_64OK584
windows-release-arm64OK550
windows-release-x86_64OK498
windows-oldrel-x86_64OK434
wasm-releaseOK318

Exports:bdpCalcResponsebdpExtractbdpPairsbdpPlotbdpPlotBEbdpPlotResidualsbdpPrintbdpregbdpTraceplot

Dependencies:abindaskpassbackportsbase64encbayestestRBHbslibcachemcallrcheckmateclicpp11crosstalkcurldata.tabledatawizardDEoptimRdescdigestdistributionaldplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrinlineinsightisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecycleloomagrittrMASSMatrixmatrixStatsmemoisemimemixtoolsmvtnormnlmenumDerivopensslotelpcaPPpillarpkgbuildpkgconfigplotlyposteriorprocessxpromisespspurrrQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrobustbaserrcovrstanrstantoolsS7sassscalessegmentedStanHeadersstringistringrsurvivalsystensorAtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml