copula.cdf.plot: Bivariate CDF estimation of copula - plot
In anthonyyazdani/KernelMVA: Kernel density estimation
Description
Usage
Arguments
Value
Examples
View source: R/copula.cdf.plot.R
Description
Bivariate CDF estimation of copula - plot
Usage
1
copula.cdf.plot(RV, grid_size)
Arguments
RV
Matrix: Realizations of two random variables.
grid_size
Scalar : The size of the grid on which the plot will be made.
Value
Returns the CDF estimate across the grid.
Examples
1
2
3
OBJ = copula.cdf.plot(RV = cbind(rnorm(1000),rnorm(1000)), grid_size = 100)
OBJ$Plot3D
OBJ$Contour
anthonyyazdani/KernelMVA documentation built on March 29, 2021, 1:50 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.
Description Usage Arguments Value Examples
View source: R/copula.cdf.plot.R
Description
Bivariate CDF estimation of copula - plot
Usage
1 | copula.cdf.plot(RV, grid_size)
|
Arguments
RV |
Matrix: Realizations of two random variables. |
grid_size |
Scalar : The size of the grid on which the plot will be made. |
Value
Returns the CDF estimate across the grid.
Examples
1 2 3 | OBJ = copula.cdf.plot(RV = cbind(rnorm(1000),rnorm(1000)), grid_size = 100)
OBJ$Plot3D
OBJ$Contour
|
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.