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

In binom: Binomial Confidence Intervals For Several Parameterizations

Description

Uses the probit parameterization on the observed proportion to construct confidence intervals.

Usage

binom.probit(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.probit, binom.logit, binom.coverage

Examples

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

Example output

   method  x  n mean       lower     upper
1  probit  0 10  0.0 0.000000000 0.3084971
2  probit  1 10  0.1 0.009615045 0.4121325
3  probit  2 10  0.2 0.042069184 0.5175162
4  probit  3 10  0.3 0.089913473 0.6150429
5  probit  4 10  0.4 0.149339067 0.7028372
6  probit  5 10  0.5 0.218639015 0.7813610
7  probit  6 10  0.6 0.297162850 0.8506609
8  probit  7 10  0.7 0.384957138 0.9100865
9  probit  8 10  0.8 0.482483818 0.9579308
10 probit  9 10  0.9 0.587867505 0.9903850
11 probit 10 10  1.0 0.691502892 1.0000000

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