Estimates bootstrap confidence intervals for the mitigated fraction.
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formula 
Formula of the form 
data 
Data frame 
compare 
Text vector stating the factor levels 

b 
Number of bootstrap samples to take with each cycle 
B 
Number of cycles, giving the total number of samples = B * b 
alpha 
Complement of the confidence level 
hpd 
Estimate highest density intervals? Default TRUE. 
bca 
Estimate BCa intervals? Default FALSE. 
return.boot 
Save the bootstrap sample of the MF statistic? Default FALSE. 
trace.it 
Verbose tracking of the cycles? Default FALSE. 
Resamples the data and produces bootstrap confidence intervals. Equal tailed intervals are estimated by the percentile method. Highest density intervals are estimated by selecting the shortest of all possible intervals. For BCa intervals, see Efron and Tibshirani section 14.3.
a mfbootclass
data object
David Siev david.siev@aphis.usda.gov
Siev D. (2005). An estimator of intervention effect on
disease severity. Journal of Modern Applied
Statistical Methods. 4:500–508
Efron B,
Tibshirani RJ. An Introduction to the Bootstrap.
Chapman and Hall, New York, 1993.
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