bernoulli_cdf_MC

Internal function that discretizes grid and solves
matrix equation involving transition matrix for Markov Chain methodology

internal

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.

Daniel Gomon

success

Survival Control Charts Estimation Software

Mirko Signorelli

bernoulli_cdf_MC function

<dl><dt>n_grid</dt>
<dd>Number of state spaces used to discretize the outcome space (when <code>method = "MC"</code>)
or number of grid points used for trapezoidal integration (when <code>method = "SPRT"</code>).
Increasing this number improves accuracy, but can also significantly increase computation time.</dd>
<dt>R</dt>
<dd>Transition probability matrix obtained from <code>calc_MC_trans_matrix</code></dd>
<dt>h</dt>
<dd>Control limit for the Bernoulli CUSUM</dd></dl>

Arguments

Average run length for Bernoulli CUSUM using Markov Chain methodology — bernoulli_cdf_MC

<dl>

<dt>n_grid</dt>
<dd>Number of state spaces used to discretize the outcome space (when <code>method = "MC"</code>)
or number of grid points used for trapezoidal integration (when <code>method = "SPRT"</code>).
Increasing this number improves accuracy, but can also significantly increase computation time.</dd>


<dt>R</dt>
<dd>Transition probability matrix obtained from <code>calc_MC_trans_matrix</code></dd>


<dt>h</dt>
<dd>Control limit for the Bernoulli CUSUM</dd>

</dl>

bernoulli_cdf_MC: Average run length for Bernoulli CUSUM using Markov Chain methodology

Description

Usage

Arguments