Description Usage Arguments Value See Also Examples
Calculate correlation matrix for two sets of points in one dimension. Note that this is not the correlation between two vectors.
1 2 | CGGP_internal_CorrMatCauchy(x1, x2, theta, return_dCdtheta = FALSE,
return_numpara = FALSE, returnlogs = FALSE)
|
x1 |
Vector of coordinates from same dimension |
x2 |
Vector of coordinates from same dimension |
theta |
Correlation parameters:
|
return_dCdtheta |
Should dCdtheta be returned? |
return_numpara |
Should it just return the number of parameters? |
returnlogs |
Should log of correlation be returned? |
Matrix of correlation values between x1 and x2
Other correlation functions: CGGP_internal_CorrMatCauchySQT
,
CGGP_internal_CorrMatCauchySQ
,
CGGP_internal_CorrMatGaussian
,
CGGP_internal_CorrMatMatern32
,
CGGP_internal_CorrMatMatern52
,
CGGP_internal_CorrMatPowerExp
1 | CGGP_internal_CorrMatCauchy(c(0,.2,.4),c(.1,.3,.5), theta=c(-1,.9,.1))
|
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