CGGP_internal_CorrMatPowerExp {CGGP} | R Documentation |
Calculate correlation matrix for two sets of points in one dimension. Note that this is not the correlation between two vectors.
CGGP_internal_CorrMatPowerExp(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_CorrMatCauchy
,
CGGP_internal_CorrMatGaussian
,
CGGP_internal_CorrMatMatern32
,
CGGP_internal_CorrMatMatern52
CGGP_internal_CorrMatPowerExp(c(0,.2,.4),c(.1,.3,.5), theta=c(-.7,.2))