logitnsumcdf: Cumulative distribution function of the convolution (sum) of...
In kaybrodersen/micp: Bayesian mixed-effects inference on classification performance
logitnsumcdf R Documentation
Cumulative distribution function of the convolution (sum) of two logit-normal
variables
Description
Cumulative distribution function of the convolution (sum) of two logit-normal
variables
Usage
logitnsumcdf(x, mu1, sigma1, mu2, sigma2)
Arguments
x
Vector of values.
mu1
Location parameter of the first distribution.
sigma1
Scale parameter of the first distribution.
mu2
Location parameter of the second distribution.
sigma2
Scale parameter of the second distribution.
Value
Value of the cumulative distribution function.
kaybrodersen/micp documentation built on April 15, 2022, 2:24 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.
| logitnsumcdf | R Documentation |
Cumulative distribution function of the convolution (sum) of two logit-normal variables
Description
Cumulative distribution function of the convolution (sum) of two logit-normal variables
Usage
logitnsumcdf(x, mu1, sigma1, mu2, sigma2)
Arguments
x |
Vector of values. |
mu1 |
Location parameter of the first distribution. |
sigma1 |
Scale parameter of the first distribution. |
mu2 |
Location parameter of the second distribution. |
sigma2 |
Scale parameter of the second distribution. |
Value
Value of the cumulative distribution function.
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.