Package: success 1.1.0

Daniel Gomon

success: Survival Control Charts Estimation Software

Quality control charts for survival outcomes. Allows users to construct the Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM) <doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data <doi:10.1002/sim.1970>. These procedures can be used to monitor survival processes for a change in the failure rate.

Authors:Daniel Gomon [aut, cre], Mirko Signorelli [ctb]

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success.pdf |success.html
success/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/d-gomon/success/issues

Datasets:
  • breast - Survival after breast cancer surgery
  • surgerydat - Simulated data set with data of surgery procedures performed at multiple hospitals.

On CRAN:

24 exports 1 stars 1.14 score 79 dependencies 7 scripts 735 downloads

Last updated 3 months agofrom:b203ea7256. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:arrival_ratebernoulli_ARLbernoulli_control_limitbernoulli_cusumbernoulli_RL_cdfbk_control_limitbk_cusumcalc_riskcgr_control_limitcgr_cusumchaz_expchaz_weibextract_hazardfunnel_plotgen_arriv_timesgen_surv_timesgenerate_unitshaz_exphaz_weibinteractive_plotinv_chaz_expinv_chaz_weibparameter_assistrunlength

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmatrixcalcmemoisemgcvmimemunsellnlmeopensslpbapplypillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangrmarkdownsassscalesstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

SUrvival Control Chart EStimation Software in R:the success package

Rendered fromsuccess_arxiv.Rnwusingutils::Sweaveon Sep 17 2024.

Last update: 2023-02-16
Started: 2023-02-16

Readme and manuals

Help Manual

Help pageTopics
Estimate arrival rate of a Poisson points processarrival_rate
Average Run Length for Bernoulli CUSUMbernoulli_ARL
Determine control limits for the Bernoulli CUSUM by simulationbernoulli_control_limit
Risk-adjusted Bernoulli CUSUMbernoulli_cusum
Cumulative distribution function (cdf) of Run Length for Bernoulli CUSUMbernoulli_RL_cdf
Determine control limits for BK-CUSUM by simulationbk_control_limit
Continuous time BK-CUSUMbk_cusum
Survival after breast cancer surgerybreast
Calculate the Cox Proportional hazards relative risk associated with the covariates of subjectscalc_risk
Determine control limits for CGR-CUSUM by simulationcgr_control_limit
Continuous time Generalized Rapid response CUSUM (CGR-CUSUM)cgr_cusum
Exponential hazard, cumulative hazard and inverse cumulative hazardchaz_exp exp_hazards haz_exp inv_chaz_exp
Extract (inverse) cumulative baseline hazard from Cox PH modelextract_hazard
Risk-adjusted funnel plotfunnel_plot
Generate arrival times according to a Poisson point processgen_arriv_times
Generate survival timesgen_surv_times
Generate units with specified failure rategenerate_units
Plot a list of CUSUM charts (interactive)interactive_plot
Assist users in parameter selectionparameter_assist
Plot a quality control chartplot.bercusum plot.bkcusum plot.cgrcusum plot.funnelplot
Determine run length of a CUSUM chartrunlength runlength.bercusum runlength.bkcusum runlength.cgrcusum
Summarizes S3 objects in this package.summary.funnelplot
Simulated data set with data of surgery procedures performed at multiple hospitals.surgerydat
Weibull hazard, cumulative hazard and inverse cumulative hazardchaz_weib haz_weib inv_chaz_weib weib_hazards