| CGGP_internal_CorrMatWendland0 | 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_CorrMatWendland0(
  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(),
CGGP_internal_CorrMatWendland1(),
CGGP_internal_CorrMatWendland2()
CGGP_internal_CorrMatWendland0(c(0,.2,.4),c(.1,.3,.5), theta=-.7)
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