BonettPrice_hybrid_Wilson_score_CI_paired_2x2: The Bonett-Price hybrid Wilson score confidence interval for...
In ocbe-uio/contingencytables: Statistical Analysis of Contingency Tables
View source: R/BonettPrice_hybrid_Wilson_score_CI_paired_2x2.R
BonettPrice_hybrid_Wilson_score_CI_paired_2x2 R Documentation
The Bonett-Price hybrid Wilson score confidence interval for the ratio of paired probabilities
Description
The Bonett-Price hybrid Wilson score confidence interval for the ratio of paired probabilities
Described in Chapter 8 "The Paired 2x2 Table"
Usage
BonettPrice_hybrid_Wilson_score_CI_paired_2x2(n, alpha = 0.05)
Arguments
n
the observed counts (a 2x2 matrix)
alpha
the nominal level, e.g. 0.05 for 95# CIs
Value
An object of the contingencytables_result class,
basically a subclass of base::list(). Use the utils::str() function
to see the specific elements returned.
Examples
BonettPrice_hybrid_Wilson_score_CI_paired_2x2(bentur_2009)
BonettPrice_hybrid_Wilson_score_CI_paired_2x2(cavo_2012)
ocbe-uio/contingencytables documentation built on March 19, 2024, 4:30 a.m.
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View source: R/BonettPrice_hybrid_Wilson_score_CI_paired_2x2.R
| BonettPrice_hybrid_Wilson_score_CI_paired_2x2 | R Documentation |
The Bonett-Price hybrid Wilson score confidence interval for the ratio of paired probabilities
Description
The Bonett-Price hybrid Wilson score confidence interval for the ratio of paired probabilities
Described in Chapter 8 "The Paired 2x2 Table"
Usage
BonettPrice_hybrid_Wilson_score_CI_paired_2x2(n, alpha = 0.05)
Arguments
n |
the observed counts (a 2x2 matrix) |
alpha |
the nominal level, e.g. 0.05 for 95# CIs |
Value
An object of the contingencytables_result class,
basically a subclass of base::list(). Use the utils::str() function
to see the specific elements returned.
Examples
BonettPrice_hybrid_Wilson_score_CI_paired_2x2(bentur_2009)
BonettPrice_hybrid_Wilson_score_CI_paired_2x2(cavo_2012)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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