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
rstanbdp_0.0.2.zip(r-4.5)rstanbdp_0.0.2.zip(r-4.4)rstanbdp_0.0.2.zip(r-4.3)
rstanbdp_0.0.2.tgz(r-4.4-x86_64)rstanbdp_0.0.2.tgz(r-4.4-arm64)rstanbdp_0.0.2.tgz(r-4.3-x86_64)rstanbdp_0.0.2.tgz(r-4.3-arm64)
rstanbdp_0.0.2.tar.gz(r-4.5-noble)rstanbdp_0.0.2.tar.gz(r-4.4-noble)
rstanbdp.pdf |rstanbdp.html
rstanbdp/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

3.00 score 1 stars 3 scripts 149 downloads 9 exports 106 dependencies

Last updated 9 months agofrom:bd25fd4d79. Checks:OK: 2 NOTE: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 26 2024

Exports:bdpCalcResponsebdpExtractbdpPairsbdpPlotbdpPlotBEbdpPlotResidualsbdpPrintbdpregbdpTraceplot

Dependencies:abindaskpassbackportsbase64encbayestestRBHbslibcachemcallrcheckmateclicolorspacecpp11crosstalkcurldata.tabledatawizardDEoptimRdescdigestdistributionaldplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrinlineinsightisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecycleloomagrittrMASSMatrixmatrixStatsmemoisemgcvmimemixtoolsmunsellmvtnormnlmenumDerivopensslpcaPPpillarpkgbuildpkgconfigplotlyposteriorprocessxpromisespspurrrQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrobustbaserrcovrstanrstantoolssassscalessegmentedStanHeadersstringistringrsurvivalsystensorAtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml