GauPro: kernel_gauss_dC – R documentation

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kernel_gauss_dC

Correlation Gaussian matrix in C (symmetric)

Correlation Gaussian matrix in C (symmetric)

kernel_gauss_dC(x, theta, C_nonug, s2_est, beta_est, lenparams_D, s2_nug)

`x`	Matrix x
`theta`	Theta vector
`C_nonug`	cov mat without nugget
`s2_est`	whether s2 is being estimated
`beta_est`	Whether theta/beta is being estimated
`lenparams_D`	Number of parameters the derivative is being calculated for
`s2_nug`	s2 times the nug

Correlation matrix

corr_gauss_matrix_symC(matrix(c(1,0,0,1),2,2),c(1,1))

Gaussian Process Fitting

v0.2.4

GPL-3

Authors

Collin Erickson

Initial release