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.).

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Description

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.).

Usage

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medianConsistentlyOne(pr, size, R, nConsistentRuns = 5, warn = TRUE,
  consistentQuantile = 0.5)

Arguments

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

Value

Boolean of length one (TRUE or FALSE).

Examples

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## Not run: 
prs <- seq(.990,.995,.0001)
bools <- sapply( prs, medianConsistentlyOne, size=truePos, R=R )
data.frame( prs, bools )

## End(Not run)