Package: rcssci 0.4.0

Zhiqiang Nie

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,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) <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)).

Authors:Zhiqiang Nie [aut, cre, cph], JunZhang [ctb], Chaolei Chen [ctb]

rcssci_0.4.0.tar.gz
rcssci_0.4.0.tar.gz(r-4.5-noble)rcssci_0.4.0.tar.gz(r-4.4-noble)
rcssci_0.4.0.tgz(r-4.4-emscripten)
rcssci.pdf |rcssci.html
rcssci/json (API)

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

Peer review:

Bug tracker:https://github.com/popnie/rcssci/issues

Datasets:
  • sbpdata - A data on sbp and status.

2.51 score 7 stars 46 scripts 554 downloads 20 exports 127 dependencies

Last updated 2 years agofrom:e28090f49e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linuxOKNov 23 2024

Exports:rcs_cox.lshaprcs_cox.nshaprcs_cox.probrcs_cox.ushaprcs_linear.lshaprcs_linear.nshaprcs_linear.probrcs_linear.ushaprcs_logistic.lshaprcs_logistic.nshaprcs_logistic.probrcs_logistic.ushaprcs_quasipoisson.lshaprcs_quasipoisson.nshaprcs_quasipoisson.probrcs_quasipoisson.ushaprcssci_coxrcssci_linearrcssci_logisticrcssci_quasipoisson

Dependencies:abindbackportsbase64encbootbroombslibcachemCairocarcarDatacheckmatecliclustercodetoolscolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdigestdoBydplyrevaluateexactRankTestsfansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjpegjquerylibjsonlitekm.ciKMsurvknitrlabelinglatticelifecyclelme4magrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpacmanpatchworkpbkrtestpillarpkgconfigpngpolsplinepolynompurrrquantregR6rappdirsRColorBrewerRcppRcppEigenremotesrlangrmarkdownrmsrpartrstatixrstudioapisandwichsassscalessegmentedSparseMstringistringrsurvivalsurvminersurvMiscTH.datatibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxml2xtableyamlzoo

Readme and manuals

Help Manual

Help pageTopics
rcs_cox.lshaprcs_cox.lshap
rcs_cox.nshaprcs_cox.nshap
rcs_cox.probrcs_cox.prob
rcs_cox.ushaprcs_cox.ushap
rcs_linear.lshaprcs_linear.lshap
rcs_linear.nshaprcs_linear.nshap
rcs_linear.probrcs_linear.prob
rcs_linear.ushaprcs_linear.ushap
rcs_logistic.lshaprcs_logistic.lshap
rcs_logistic.nshaprcs_logistic.nshap
rcs_logistic.probrcs_logistic.prob
rcs_logistic.ushaprcs_logistic.ushap
rcs_quasipoisson.lshaprcs_quasipoisson.lshap
rcs_quasipoisson.nshaprcs_quasipoisson.nshap
rcs_quasipoisson.probrcs_quasipoisson.prob
rcs_quasipoisson.ushaprcs_quasipoisson.ushap
rcssci_coxrcssci_cox
rcssci_linearrcssci_linear
rcssci_logisticrcssci_logistic
rcssci_quasipoissonrcssci_quasipoisson
A data on sbp and status.sbpdata