<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Visualization of Restricted Cubic Splines</dc:title>
  <dc:title>R package rcssci version 0.4.0</dc:title>
  <dc:description>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,quasipoisson" regression, and auto output Restricted Cubic Splines figures.
    rcssci package could automatically draw RCS graphics with Y-axis "OR,HR,RR,beta".
    The Restricted Cubic Splines method were based on 
    Suli Huang (2022) &lt;doi:10.1016/j.ecoenv.2022.113183&gt;,Amit Kaura (2019) &lt;doi:10.1136/bmj.l6055&gt;,
    and Harrell Jr (2015, ISBN:978-3-319-19424-0 (Print) 978-3-319-19425-7 (Online)).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.2.0)</dc:relation>
  <dc:relation>Imports: pacman, rms, ggplot2, survminer, segmented, survival, dplyr,
patchwork, Cairo</dc:relation>
  <dc:creator>Zhiqiang Nie &lt;niezhiqiang@gdph.org.cn&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Zhiqiang Nie [aut, cre, cph] (ORCID = 0000-0001-7642-3286, wechat =
    Biostatistics-SCI),
  JunZhang [ctb],
  Chaolei Chen [ctb]</dc:contributor>
  <dc:rights>Artistic-2.0</dc:rights>
  <dc:date>2023-02-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=rcssci</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.rcssci</dc:identifier>
</oai_dc:dc>
