# binom.cloglog

0th

Percentile

##### Binomial confidence intervals using the cloglog parameterization

Uses the complementary log (cloglog) parameterization on the observed proportion to construct confidence intervals.

Keywords
models, htest, univar
##### Usage
binom.cloglog(x, n, conf.level = 0.95, ...)
##### Arguments
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
##### Details

For derivations see doc/binom.pdf.

##### Value

A data.frame containing the observed proportions and the lower and upper bounds of the confidence interval.

binom.confint, binom.bayes, binom.logit, binom.probit, binom.coverage
binom.cloglog(x = 0:10, n = 10)