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mfcurve: Multi-Factor Curve Analysis for Grouped Data in 'R'

Implements multi-factor curve analysis for grouped data in 'R', replicating and extending the functionality of the the 'Stata' ado 'mfcurve' (Krähmer, 2023) <https://ideas.repec.org/c/boc/bocode/s459224.html>. Related to the idea of specification curve analysis (Simonsohn, Simmons, and Nelson, 2020) <doi:10.1038/s41562-020-0912-z>. Includes data preprocessing, statistical testing, and visualization of results with confidence intervals.

Version: 1.0.2
Imports: dplyr, stats, plotly, tidyr, tidyselect, magrittr, rlang
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), withr
Published: 2026-01-23
DOI: 10.32614/CRAN.package.mfcurve (may not be active yet)
Author: Maximilian Frank [aut, cre], Daniel Krähmer [aut], Claudia Weileder [aut]
Maintainer: Maximilian Frank <maximilian.frank at psy.lmu.de>
BugReports: https://github.com/XAM12/mfcurve_R/issues
License: GPL (≥ 3)
URL: https://github.com/XAM12/mfcurve_R
NeedsCompilation: no
Materials: README
CRAN checks: mfcurve results

Documentation:

Reference manual: mfcurve.html , mfcurve.pdf
Vignettes: Introduction to mfcurve (source, R code)
mfcurve-overview (source, R code)

Downloads:

Package source: mfcurve_1.0.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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