Package: contsurvplot 0.2.1

Robin Denz

contsurvplot: Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome

Graphically display the (causal) effect of a continuous variable on a time-to-event outcome using multiple different types of plots based on g-computation. Those functions include, among others, survival area plots, survival contour plots, survival quantile plots and 3D surface plots. Due to the use of g-computation, all plot allow confounder-adjustment naturally. For details, see Robin Denz, Nina Timmesfeld (2023) <doi:10.1097/EDE.0000000000001630>.

Authors:Robin Denz [aut, cre]

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NEWS

# Install 'contsurvplot' in R:
install.packages('contsurvplot', repos = c('https://robindenz1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/robindenz1/contsurvplot/issues

On CRAN:

5.49 score 12 stars 51 scripts 389 downloads 12 exports 106 dependencies

Last updated 1 years agofrom:3b83f5f2cc. Checks:OK: 1 NOTE: 4 ERROR: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winNOTENov 09 2024
R-4.5-linuxNOTENov 09 2024
R-4.4-winNOTENov 09 2024
R-4.4-macNOTENov 09 2024
R-4.3-winERRORNov 09 2024
R-4.3-macERRORNov 09 2024

Exports:curve_contplot_surv_3Dsurfaceplot_surv_animatedplot_surv_areaplot_surv_at_tplot_surv_contourplot_surv_heatmapplot_surv_linesplot_surv_matrixplot_surv_quantilesplot_surv_rmstplot_surv_rmtl

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacedata.tablediagramdigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2globalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemultcompmunsellmvtnormnlmennetnumDerivparallellypillarpkgconfigplotrixpolsplineprodlimprogressrPublishquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletidyselecttimeregtinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo

Visualizing the Causal Effect of a Continuous Variable on a Time-To-Event Outcome

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2023-07-19
Started: 2022-04-21