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Type: Package
Title: Blyth-Still-Casella Confidence Interval
Version: 0.1.1
Date: 2024-01-29
Description: Provides a fast calculation of the Blyth-Still-Casella confidence interval. The implementation follows the 'StatXact' 9 manual (Cytel 2010) and "Refining Binomial Confidence Intervals" by George Casella (1986) <doi:10.2307/3314658>.
License: GPL (≥ 3)
Imports: Rcpp
LinkingTo: Rcpp, BH
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2024-01-29 12:21:52 UTC; stigler
Author: Shimeng Huang [aut, cre], Keith Winstein [aut]
Maintainer: Shimeng Huang <dora.huang.sunshine@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-29 13:50:06 UTC

Blyth-Still-Casella Confidence Interval

Description

Blyth-Still-Casella Confidence Interval

Details

Provides a fast calculation of the Blyth-Still-Casella confidence interval.


Blyth-Still-Casella confidence interval

Description

Blyth-Still-Casella confidence interval

Usage

bscCI(n_tot, n_suc, conf, digits = 2)

Arguments

n_tot

Total number of experiments

n_suc

Number of successes

conf

Confidence level (1-alpha)

digits

Number of decimal places to be used

Details

Computes the exact Blyth-Still-Casella binomial confidence interval. The initial CI is the Clopper-Pearson confidence interval.

Value

A vector containing the confidence interval. If digits is given, both upper and lower limits are rounded to the given number of digits.

Examples

bscCI(100,25,0.95,digits = 3)


Clopper-Pearson confidence interval

Description

Clopper-Pearson confidence interval

Usage

cpCI(n_tot, n_suc, conf, digits = 2)

Arguments

n_tot

Total number of experiments

n_suc

Number of successes

conf

Confidence level (1-alpha)

digits

Number of decimal places to be used

Details

Computes the Clopper-Pearson confidence interval.

Examples

cpCI(100,25,0.95)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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