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]

success_1.1.0.tar.gz
success_1.1.0.zip(r-4.7)success_1.1.0.zip(r-4.6)success_1.1.0.zip(r-4.5)
success_1.1.0.tgz(r-4.6-any)success_1.1.0.tgz(r-4.5-any)
success_1.1.0.tar.gz(r-4.7-any)success_1.1.0.tar.gz(r-4.6-any)
success_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
success/json (API)

# Install 'success' in R:

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

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:

3.70 score 1 stars 8 scripts 621 downloads 24 exports 74 dependencies

Last updated from:b203ea7256. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	241
source / vignettes	OK	231
linux-release-x86_64	OK	259
macos-release-arm64	OK	202
macos-oldrel-arm64	OK	197
windows-devel	OK	190
windows-release	OK	181
windows-oldrel	OK	187
wasm-release	OK	126

Exports:arrival_rate bernoulli_ARL bernoulli_control_limit bernoulli_cusum bernoulli_RL_cdf bk_control_limit bk_cusum calc_risk cgr_control_limit cgr_cusum chaz_exp chaz_weib extract_hazard funnel_plot gen_arriv_times gen_surv_times generate_units haz_exp haz_weib interactive_plot inv_chaz_exp inv_chaz_weib parameter_assist runlength

Dependencies:askpass base64enc bslib cachem cli cpp11 crosstalk curl data.table digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 ggrepel glue gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle magrittr Matrix matrixcalc memoise mime openssl otel pbapply pillar pkgconfig plotly promises purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppParallel Rfast rlang rmarkdown S7 sass scales stringi stringr survival sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml zigg

SUrvival Control Chart EStimation Software in R:the success package

Rendered fromsuccess_arxiv.Rnwusingutils::Sweave

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Estimate arrival rate of a Poisson points process	arrival_rate
Average Run Length for Bernoulli CUSUM	bernoulli_ARL
Determine control limits for the Bernoulli CUSUM by simulation	bernoulli_control_limit
Risk-adjusted Bernoulli CUSUM	bernoulli_cusum
Cumulative distribution function (cdf) of Run Length for Bernoulli CUSUM	bernoulli_RL_cdf
Determine control limits for BK-CUSUM by simulation	bk_control_limit
Continuous time BK-CUSUM	bk_cusum
Survival after breast cancer surgery	breast
Calculate the Cox Proportional hazards relative risk associated with the covariates of subjects	calc_risk
Determine control limits for CGR-CUSUM by simulation	cgr_control_limit
Continuous time Generalized Rapid response CUSUM (CGR-CUSUM)	cgr_cusum
Exponential hazard, cumulative hazard and inverse cumulative hazard	chaz_exp exp_hazards haz_exp inv_chaz_exp
Extract (inverse) cumulative baseline hazard from Cox PH model	extract_hazard
Risk-adjusted funnel plot	funnel_plot
Generate arrival times according to a Poisson point process	gen_arriv_times
Generate survival times	gen_surv_times
Generate units with specified failure rate	generate_units
Plot a list of CUSUM charts (interactive)	interactive_plot
Assist users in parameter selection	parameter_assist
Plot a quality control chart	plot.bercusum plot.bkcusum plot.cgrcusum plot.funnelplot
Determine run length of a CUSUM chart	runlength 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 hazard	chaz_weib haz_weib inv_chaz_weib weib_hazards