| CGGP_internal_CorrMatMatern52 | 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_CorrMatMatern52(
  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_CorrMatPowerExp(),
CGGP_internal_CorrMatWendland0(),
CGGP_internal_CorrMatWendland1(),
CGGP_internal_CorrMatWendland2()
CGGP_internal_CorrMatMatern52(c(0,.2,.4),c(.1,.3,.5), theta=c(-.7))
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