likbox: Likelihood function of the BoxCox transformation
In OVL.CI: Inference on the Overlap Coefficient: The Binormal Approach and Alternatives
likbox R Documentation
Likelihood function of the BoxCox transformation
Description
Computation of the likelihood function of the BoxCox transformation
Usage
likbox(h, data, n)
Arguments
h
parameter of the Box-Cox transformation
data
joint vector of controls (first) and cases
n
length of the vector of controls
Value
the likelihood function of the BoxCox transformation
Examples
h=-1.6
controls=rnorm(50,6,1)
cases=rnorm(100,6.5,0.5)
likbox(h,c(controls,cases),n=length(controls))
OVL.CI documentation built on Nov. 14, 2023, 1:06 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.
| likbox | R Documentation |
Likelihood function of the BoxCox transformation
Description
Computation of the likelihood function of the BoxCox transformation
Usage
likbox(h, data, n)
Arguments
h |
parameter of the Box-Cox transformation |
data |
joint vector of controls (first) and cases |
n |
length of the vector of controls |
Value
the likelihood function of the BoxCox transformation
Examples
h=-1.6
controls=rnorm(50,6,1)
cases=rnorm(100,6.5,0.5)
likbox(h,c(controls,cases),n=length(controls))
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.