Package: rstanbdp 0.0.3

Giorgio Pioda

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_0.0.3.tar.gz
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rstanbdp_0.0.3.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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • glycHem - Method comparison of glycated hemoglobin measurement

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

onetbbcpp

1.70 score 3 scripts 272 downloads 10 exports 104 dependencies

Last updated from:71cba7987d. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK409
linux-devel-x86_64OK476
source / vignettesOK450
linux-release-arm64OK420
linux-release-x86_64OK438
windows-devel-arm64OK473
windows-devel-x86_64OK492
windows-release-arm64OK438
windows-release-x86_64OK589
wasm-releaseOK321

Exports:bdpCalcResponsebdpExtractbdpPairsbdpPlotbdpPlotBEbdpPlotResidualsbdpPrintbdpregbdpSummarybdpTraceplot

Dependencies:abindaskpassbackportsbase64encbayestestRBHbslibcachemcallrcheckmateclicpp11crosstalkcurldata.tabledatawizardDEoptimRdescdigestdistributionaldplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrinlineinsightisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecycleloomagrittrMASSMatrixmatrixStatsmemoisemimemixtoolsmvtnormnlmenumDerivopensslotelpcaPPpillarpkgbuildpkgconfigplotlyposteriorprocessxpromisespspurrrQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrobustbaserrcovrstanrstantoolsS7sassscalessegmentedStanHeadersstringistringrsurvivalsystensorAtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml