pgam: Distribution of a Gamma variable
In CopulaRegression: Bivariate Copula Based Regression Models
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Cumulative distribution function of a Gamma-distributed variable in mean parametrization
Usage
1
pgam(y,mu,delta)
Arguments
y
vector of length n
mu
mean parameter; either a number or a vector of length n
delta
dispersion parameter; a number
Value
cumulative distribution function, evaluated at y, this is a vector of length n
Author(s)
Nicole Kraemer
See Also
Examples
1
2
3
4
y<-0:10
mu<-5
delta<-1
out<-pgam(y,mu,delta)
CopulaRegression documentation built on May 29, 2017, 5:47 p.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 Usage Arguments Value Author(s) See Also Examples
Description
Cumulative distribution function of a Gamma-distributed variable in mean parametrization
Usage
1 | pgam(y,mu,delta)
|
Arguments
y |
vector of length n |
mu |
mean parameter; either a number or a vector of length n |
delta |
dispersion parameter; a number |
Value
cumulative distribution function, evaluated at y, this is a vector of length n
Author(s)
Nicole Kraemer
See Also
Examples
1 2 3 4 | y<-0:10
mu<-5
delta<-1
out<-pgam(y,mu,delta)
|
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.