binci: Exact Binomial Confidence Limits
In raredd/desmon: Functions for design and monitoring of clinical trials
binci R Documentation
Exact Binomial Confidence Limits
Description
Calculates exact confidence bounds on a single binomial probability
Usage
binci(r, n, conf = 0.95)
Arguments
r
number of successes
n
total number of trials
conf
confidence level
Details
Calculates exact 1-(1-conf)/2 upper and lower confidence limits for a
binomial proportion. The precision of the solution is the default in
uniroot.
Value
Returns a vector containing the two confidence limits. Returns 0 for
the lower limit if r=0, and returns 1 for the upper limit if r=n.
See Also
twocon
Examples
binci(54, 88)
raredd/desmon documentation built on May 7, 2024, 3:46 p.m.
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| binci | R Documentation |
Exact Binomial Confidence Limits
Description
Calculates exact confidence bounds on a single binomial probability
Usage
binci(r, n, conf = 0.95)
Arguments
r |
number of successes |
n |
total number of trials |
conf |
confidence level |
Details
Calculates exact 1-(1-conf)/2 upper and lower confidence limits for a
binomial proportion. The precision of the solution is the default in
uniroot.
Value
Returns a vector containing the two confidence limits. Returns 0 for the lower limit if r=0, and returns 1 for the upper limit if r=n.
See Also
twocon
Examples
binci(54, 88)
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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