Description Usage Arguments Details Value Author(s) References See Also Examples
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 mfboot-class
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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10000 bootstrap samples
95% confidence interval
Comparing vac to con
observed median lower upper
Equal Tailed 0.44 0.4464 0.1360 0.7056
Highest Density 0.44 0.4464 0.1424 0.7088
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