Computes coordinate transformations of the form (y1, y2) = (f1(x1, x2), f2(x1, x2)) for spatial regression, where a spatial process Y on (y1, y2) has known stationary covariance function. The functions f1 and f2 are obtained via the tensor product of B-splines, with a regularization penalty to ensure f1, f2 are injective functions. The case for Y Gaussian with general covariance function is implemented, as well as documentation for extensions to different spatial covariance functions.
Package details |
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Author | Guilherme Ludwig [aut, cre], Ronaldo Dias [aut], Paul Sampson [ctb] |
Maintainer | Guilherme Ludwig <gvludwig@ime.unicamp.br> |
License | GPL (>= 2) |
Version | 0.1.96 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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