madansky.fun: Lagrange multiplier in Madansky's method
In serieslcb: Lower Confidence Bounds for Binomial Series System
Description
This function is called in the madansky() function to solve for the Lagrange multipliers.
Usage
1
madansky.fun(lam, s, n, alpha)
Arguments
lam
The value of the Lagrange multiplier
s
Vector of successes.
n
Vector of sample sizes.
alpha
The significance level; to calculate a 100(1-α)% lower confidence bound.
serieslcb documentation built on July 9, 2019, 9:03 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
This function is called in the madansky() function to solve for the Lagrange multipliers.
Usage
1 | madansky.fun(lam, s, n, alpha)
|
Arguments
lam |
The value of the Lagrange multiplier |
s |
Vector of successes. |
n |
Vector of sample sizes. |
alpha |
The significance level; to calculate a 100(1-α)% lower confidence bound. |
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.