bcusum_arl_sim: Compute ARLs of the Bernoulli CUSUM control charts using...
In vlad: Variable Life Adjusted Display and Other Risk-Adjusted Quality Control Charts
Description
Usage
Arguments
Value
Author(s)
Description
Compute ARLs of the Bernoulli CUSUM control charts using simulation.
Usage
1
bcusum_arl_sim(r, h, df, R0 = 1, RA = 2)
Arguments
r
Integer Vector. Number of runs.
h
Double. Control Chart limit for detecting deterioration/improvement.
df
Data Frame. First column are Parsonnet Score values within a range of 0 to
100 representing the preoperative patient risk. The second column are binary (0/1)
outcome values of each operation.
R0
Double. Odds ratio of death under the null hypotheses.
RA
Double. Odds ratio of death under the alternative hypotheses.
Value
Returns a single value which is the Run Length.
Author(s)
Philipp Wittenberg
vlad documentation built on Feb. 15, 2021, 5:12 p.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
Description
Compute ARLs of the Bernoulli CUSUM control charts using simulation.
Usage
1 | bcusum_arl_sim(r, h, df, R0 = 1, RA = 2)
|
Arguments
r |
Integer Vector. Number of runs. |
h |
Double. Control Chart limit for detecting deterioration/improvement. |
df |
Data Frame. First column are Parsonnet Score values within a range of |
R0 |
Double. Odds ratio of death under the null hypotheses. |
RA |
Double. Odds ratio of death under the alternative hypotheses. |
Value
Returns a single value which is the Run Length.
Author(s)
Philipp Wittenberg
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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