binom.cloglog: Binomial confidence intervals using the cloglog...

In binom: Binomial Confidence Intervals For Several Parameterizations

Description

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

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.

Author(s)

Sundar Dorai-Raj ([e-mail])

See Also

binom.confint, binom.bayes, binom.logit, binom.probit, binom.coverage

Examples

binom.cloglog(x = 0:10, n = 10)

Example output

    method  x  n mean       lower     upper
1  cloglog  0 10  0.0 0.000000000 0.3084971
2  cloglog  1 10  0.1 0.005723456 0.3581275
3  cloglog  2 10  0.2 0.030909024 0.4747147
4  cloglog  3 10  0.3 0.071134492 0.5778673
5  cloglog  4 10  0.4 0.122693166 0.6702046
6  cloglog  5 10  0.5 0.183605591 0.7531741
7  cloglog  6 10  0.6 0.252668897 0.8272210
8  cloglog  7 10  0.7 0.328716593 0.8919490
9  cloglog  8 10  0.8 0.408690782 0.9458726
10 cloglog  9 10  0.9 0.473009271 0.9852814
11 cloglog 10 10  1.0 0.691502892 1.0000000

binom documentation built on May 2, 2019, 5:16 p.m.