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]

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

On CRAN:

9 exports 1 stars 0.94 score 106 dependencies 3 scripts 303 downloads

Last updated 7 months agofrom:bd25fd4d79. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:bdpCalcResponsebdpExtractbdpPairsbdpPlotbdpPlotBEbdpPlotResidualsbdpPrintbdpregbdpTraceplot

Dependencies:abindaskpassbackportsbase64encbayestestRBHbslibcachemcallrcheckmateclicolorspacecpp11crosstalkcurldata.tabledatawizardDEoptimRdescdigestdistributionaldplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrinlineinsightisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecycleloomagrittrMASSMatrixmatrixStatsmemoisemgcvmimemixtoolsmunsellmvtnormnlmenumDerivopensslpcaPPpillarpkgbuildpkgconfigplotlyposteriorprocessxpromisespspurrrQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrobustbaserrcovrstanrstantoolssassscalessegmentedStanHeadersstringistringrsurvivalsystensorAtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml