medianConsistentlyOne {bootLR} | R Documentation |
Find the lowest population probability whose median is consistently one This is the lowest estimate for Sens that is consistently (over 5 runs) most likely to yield a sample estimate that is all 1's (e.g. 100/100, etc.).
medianConsistentlyOne(pr, size, R, nConsistentRuns = 5, warn = TRUE, consistentQuantile = 0.5)
pr |
Probability input. |
size |
Number of trials. |
R |
number of bootstrap replications. |
nConsistentRuns |
Number of runs that all have to be identical to return TRUE. |
warn |
Warn if searching outside of the range c(0,1). |
consistentQuantile |
Defaults to 0.5 (the median). Change if we want to use a different criterion for consistency than the median |
Boolean of length one (TRUE or FALSE).
## Not run: prs <- seq(.990,.995,.0001) bools <- sapply( prs, medianConsistentlyOne, size=truePos, R=R ) data.frame( prs, bools ) ## End(Not run)