| Type: | Package | 
| Title: | Density Contour Plot for Bivariate Inverse Gaussian Distribution | 
| Version: | 0.1.0 | 
| Description: | Create the density contour plot for bivariate inverse Gaussian distribution for given non negative random variables. | 
| License: | GPL-2 | 
| Maintainer: | Bhushan Saswade <bhushansaswade@gmail.com> | 
| Encoding: | UTF-8 | 
| Depends: | plotly | 
| RoxygenNote: | 7.2.1 | 
| Suggests: | knitr | 
| VignetteBuilder: | knitr | 
| NeedsCompilation: | no | 
| Packaged: | 2023-03-15 17:05:42 UTC; Admin | 
| Author: | Kavita Mane [aut], Bhushan Saswade [aut, cre] | 
| Repository: | CRAN | 
| Date/Publication: | 2023-03-16 11:30:02 UTC | 
Density Contour Plot for Bivariate Inverse Gaussian Distribution
Description
Density Contour Plot for Bivariate Inverse Gaussian Distribution
Usage
PlotBivInvGaus(x, y, u1, u2, l1, l2, r, v)
Arguments
| x | vector defining range of non negative variable x | 
| y | vector defining range of non negative variable y | 
| u1 | mean value of variable x | 
| u2 | mean value of variable y | 
| l1 | shape parameter of variable x | 
| l2 | shape parameter of variable y | 
| r | correlation coefficient of variable X and Y | 
| v | correlation coefficient of bivariate normal distribution (Z1, Z2) | 
Value
Density contour plot for bivariate inverse Gaussian distribution
References
Continuous Bivariate Distributions Second Edition by N. Balakrishnan, Chin-Diew Lai
Examples
x=seq(1,10,0.2)
y=seq(1,10,0.2)
v=0.3
r=0.5
l1=4
l2=4
u1=3
u2=3
PlotBivInvGaus(x,y,u1,u2,l1,l2,r,v)