diffci.bayes: Bayesian confidence interval for different of independent...
In shearer/PropCIs: Various Confidence Interval Methods for Proportions
Description
Usage
Arguments
Value
References
Description
Approximate Bayesian confidence interval for different of proportions using simulation method
Usage
1
diffci.bayes(x1,n1,x2,n2,a,b,c,d,conf.level, nsim)
Arguments
x1
Binomial variate group 1
n1
Sample size group 1
x2
Binomial variate group 2
n2
Sample size group 2
a
beta prior for x1
b
beta prior for x2
c
beta prior for n1
d
beta prior for n2
conf.level
confidence level
nsim
number of simulations with default 10M
Value
Confidence interval with given confidence level.
References
Agresti, A. (2002) Categorical Data Analysis. Wiley, 2nd Edition.
shearer/PropCIs documentation built on May 29, 2019, 9:20 p.m.
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Description Usage Arguments Value References
Description
Approximate Bayesian confidence interval for different of proportions using simulation method
Usage
1 | diffci.bayes(x1,n1,x2,n2,a,b,c,d,conf.level, nsim)
|
Arguments
x1 |
Binomial variate group 1 |
n1 |
Sample size group 1 |
x2 |
Binomial variate group 2 |
n2 |
Sample size group 2 |
a |
beta prior for x1 |
b |
beta prior for x2 |
c |
beta prior for n1 |
d |
beta prior for n2 |
conf.level |
confidence level |
nsim |
number of simulations with default 10M |
Value
Confidence interval with given confidence level.
References
Agresti, A. (2002) Categorical Data Analysis. Wiley, 2nd Edition.
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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