rcssci: Visualization of Restricted Cubic Splines

Restricted Cubic Splines were performed to explore the shape of association form of "U, inverted U, L" shape and test linearity or non-linearity base on "Cox,Logistic,linear" regression, and auto output Restricted Cubic Splines figures. The Restricted Cubic Splines method were based on Suli Huang (2022) <doi:10.1016/j.ecoenv.2022.113183>,Amit Kaura (2019) <doi:10.1136/bmj.l6055>, and Harrell Jr (2015, ISBN:978-3-319-19424-0 (Print) 978-3-319-19425-7 (Online)).

Version: 0.2.0
Depends: R (≥ 4.2.0)
Imports: pacman, rms, ggplot2, survminer, segmented, survival, dplyr, patchwork, Cairo
Published: 2022-11-07
Author: Zhiqiang Nie [aut, cre, cph] (ORCID = 0000-0001-7642-3286, wechat = Biostatistics-SCI), JunZhang [ctb], Chaolei Chen [ctb]
Maintainer: Zhiqiang Nie <niezhiqiang at gdph.org.cn>
BugReports: https://github.com/popnie/RCSsci/issues
License: Artistic-2.0
NeedsCompilation: no
CRAN checks: rcssci results


Reference manual: rcssci.pdf


Package source: rcssci_0.2.0.tar.gz
Windows binaries: r-devel: rcssci_0.2.0.zip, r-release: rcssci_0.2.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): rcssci_0.2.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): rcssci_0.2.0.tgz, r-oldrel (x86_64): not available
Old sources: rcssci archive


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