Survival Control Charts Estimation Software
Average Run Length for Bernoulli CUSUM
Average run length for Bernoulli CUSUM using Markov Chain methodology
Generate arrival times according to a Poisson point process
Summarizes S3 objects in this package.
Estimate arrival rate of a Poisson points process
Average run length for Bernoulli CUSUM using Integral Equation methodo...
Average run length for Bernoulli CUSUM using Markov Chain methodology
Determine control limits for the Bernoulli CUSUM by simulation
Risk-adjusted Bernoulli CUSUM
Cumulative distribution function (cdf) of Run Length for Bernoulli CUS...
Determine control limits for BK-CUSUM by simulation
Continuous time BK-CUSUM
Transition probability matrix for Bernoulli CUSUM
Calculate the Cox Proportional hazards relative risk associated with t...
Calculate cdf of singletons W_n for CUSUM
Determine control limits for CGR-CUSUM by simulation
Continuous time Generalized Rapid response CUSUM (CGR-CUSUM)
Exponential hazard, cumulative hazard and inverse cumulative hazard
Extract (inverse) cumulative baseline hazard from Cox PH model
Risk-adjusted funnel plot
Generate survival times
Generate units with specified failure rate
Plot a list of CUSUM charts (interactive)
Assist users in parameter selection
Plot a quality control chart
Determine run length of a CUSUM chart
Weibull hazard, cumulative hazard and inverse cumulative hazard
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.