Cusecovar: New parameter vectors generation respecting a covariance...
In caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm
Cusecovar R Documentation
New parameter vectors generation respecting a covariance structure
Description
proposes new parameter vectors respecting a covariance structure
Usage
Cusecovar(xref, amplif, n)
Arguments
xref
: matrix [ . , NPar ] of the reference population whose covariance structure is to be used
amplif
: amplification factor of the standard deviation on each parameter
n
: number of new vectors to generate
Value
xnew : matrix [ n , NPar ] of new vectors
Author(s)
Fabrice Zaoui
Examples
# Definition of the parameters
xref <- matrix(rexp(35), 35, 1)
amplif <- 2.
n <- 5
# Call the function
res <- Cusecovar(xref, amplif, n)
caRamel documentation built on Sept. 11, 2024, 7:01 p.m.
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| Cusecovar | R Documentation |
New parameter vectors generation respecting a covariance structure
Description
proposes new parameter vectors respecting a covariance structure
Usage
Cusecovar(xref, amplif, n)
Arguments
xref |
: matrix [ . , NPar ] of the reference population whose covariance structure is to be used |
amplif |
: amplification factor of the standard deviation on each parameter |
n |
: number of new vectors to generate |
Value
xnew : matrix [ n , NPar ] of new vectors
Author(s)
Fabrice Zaoui
Examples
# Definition of the parameters
xref <- matrix(rexp(35), 35, 1)
amplif <- 2.
n <- 5
# Call the function
res <- Cusecovar(xref, amplif, n)
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.
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