# 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)`