Package: regtomean 1.2

regtomean: Regression Toward the Mean

In repeated measures studies with extreme large or small values it is common that the subjects measurements on average are closer to the mean of the basic population. Interpreting possible changes in the mean in such situations can lead to biased results since the values were not randomly selected, they come from truncated sampling. This method allows to estimate the range of means where treatment effects are likely to occur when regression toward the mean is present. Ostermann, T., Willich, Stefan N. & Luedtke, Rainer. (2008). Regression toward the mean - a detection method for unknown population mean based on Mee and Chua's algorithm. BMC Medical Research Methodology.<doi:10.1186/1471-2288-8-52>. Acknowledgments: We would like to acknowledge "Lena Roth" and "Nico Steckhan" for the package's initial updates (Q3 2024) and continued supervision and guidance. Both have contributed to discussing and integrating these methods into the package, ensuring they are up-to-date and contextually relevant.

Authors:Daniela Recchia [aut, cre], Thomas Ostermann [ctb], Julian Stein [ctb]

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

On CRAN:

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

1.70 score 5 scripts 209 downloads 7 exports 73 dependencies

Last updated 2 months agofrom:d8a9fd4dd2. Checks:4 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-winOKFeb 15 2025
R-4.5-macOKFeb 15 2025
R-4.5-linuxOKFeb 15 2025
R-4.4-winNOTEFeb 15 2025
R-4.4-macNOTEFeb 15 2025
R-4.3-winNOTEFeb 15 2025
R-4.3-macNOTEFeb 15 2025

Exports:cordatameechua_eff.CImeechua_plotmeechua_regplot_muplot_treplicate_data

Dependencies:base64encbayestestRbslibcachemclicolorspacecpp11datawizarddigestdplyreffectsizeeffsizeevaluatefansifarverfastmapfontawesomeformattablefsgenericsggeffectsggplot2gluegtablehighrhtmltoolshtmlwidgetsinsightisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmefamemoisemgcvmimemunsellnlmeparametersperformancepillarpkgconfigplotrixpurrrR6rappdirsRColorBrewerrlangrmarkdownsassscalessjlabelledsjmiscsjPlotsjstatsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml