matvcov: Calculation of the variances-covariances matrix on the...
In caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm
matvcov R Documentation
Calculation of the variances-covariances matrix on the reference population
Description
calculates the variances-covariances matrix on the reference population
Usage
matvcov(x, g)
Arguments
x
: population
g
: center of reference population (in the parameter space)
Value
rr : variances-covariances matrix on the reference population
Author(s)
Fabrice Zaoui
Examples
# Definition of the parameters
x <- matrix(rexp(30), 30, 1)
g <- mean(x)
# Call the function
res <- matvcov(x, g)
caRamel documentation built on March 18, 2022, 7:23 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.
| matvcov | R Documentation |
Calculation of the variances-covariances matrix on the reference population
Description
calculates the variances-covariances matrix on the reference population
Usage
matvcov(x, g)
Arguments
x |
: population |
g |
: center of reference population (in the parameter space) |
Value
rr : variances-covariances matrix on the reference population
Author(s)
Fabrice Zaoui
Examples
# Definition of the parameters x <- matrix(rexp(30), 30, 1) g <- mean(x) # Call the function res <- matvcov(x, g)
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.