Binomial confidence intervals using the cloglog parameterization
Uses the complementary log (cloglog) parameterization on the observed proportion to construct confidence intervals.
binom.cloglog(x, n, conf.level = 0.95, ...)
x |
Vector of number of successes in the binomial experiment. |
n |
Vector of number of independent trials in the binomial experiment. |
conf.level |
The level of confidence to be used in the confidence interval. |
... |
ignored |
For derivations see doc/binom.pdf.
A data.frame containing the observed
proportions and the lower and upper bounds of the confidence
interval.
Sundar Dorai-Raj (sdorairaj@gmail.com)
binom.cloglog(x = 0:10, n = 10)
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