midPci: mid-P confidence interval adaptation of the Clopper-Pearson...
In PropCIs: Various Confidence Interval Methods for Proportions
Description
Usage
Arguments
Value
References
Examples
Description
mid-P confidence interval adaptation of the Clopper-Pearson interval
Usage
1
midPci(x, n, conf.level)
Arguments
x
number of successes
n
number of trials
conf.level
confidence coefficient
Value
A list with class '"htest"' containing the following components:
conf.int
a confidence interval for the difference in proportions.
References
Agresti, A., Gottard, A. (2005) Randomized confidence intervals and
the mid-P approach, discussion of article by C. Geyer and G. Meeden,
Statistical Science 20, 367–371.
Examples
1
2
midPci(x = 15, n = 112, conf.level = 0.95)
PropCIs documentation built on May 2, 2019, 5:49 a.m.
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.
Description Usage Arguments Value References Examples
Description
mid-P confidence interval adaptation of the Clopper-Pearson interval
Usage
1 | midPci(x, n, conf.level)
|
Arguments
x |
number of successes |
n |
number of trials |
conf.level |
confidence coefficient |
Value
A list with class '"htest"' containing the following components:
conf.int |
a confidence interval for the difference in proportions. |
References
Agresti, A., Gottard, A. (2005) Randomized confidence intervals and the mid-P approach, discussion of article by C. Geyer and G. Meeden, Statistical Science 20, 367–371.
Examples
1 2 | midPci(x = 15, n = 112, conf.level = 0.95)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.