The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MDBED

The goal of MDBED is to provide 3D plots of the Moran-Downton bivariate Exponential distribution (BED), generate bivariate random values, and also provide values of the joint and conditional PDFs and CDFs.

Installation

You can install the released version of MDBED from GitHub with:

# install.packages("devtools")
devtools::install_github("lfduquey/MDBED")

Example

This is a basic example of two of the functions of MDBED; the rBED and the PDF_3dPlot functions. The rBED function generates jointly Exponential random values (x,y). The required inputs are the n values to be generated, the correlation coefficient, and the scale parameters of the marginal distributions. The pairs (x,y) are plotted for a better interpretation. The PDF_3dPlot function on the other hand builds a 3D plot of the joint PDF of the BED. The required inputs are the correlation coefficient and the scale parameters of the marginal distributions. This function also allows several characteristics of the plot to be set.

library(MDBED)
## basic example code
Data<-rBED(n=100,Betax=1,Betay=1,rho=0.85)
plot(Data[,1],Data[,2], xlab = "x", ylab = "y")

PDF_3dPlot(rho=0.85,Betax=1,Betay=1,GS=0.1)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.