Description: Lattice-based space-filling designs with fill or separation distance properties including
interleaved lattice-based minimax distance designs proposed in Xu He (2017)
<doi:10.1093/biomet/asx036>, interleaved lattice-based maximin distance designs proposed
in Xu He (2018) <doi:10.1093/biomet/asy069>, (sliced) rotated sphere packing designs
<doi:10.1080/00401706.2018.1458655>, and densest packing-based maximum projections
designs proposed in Xu He (2020) <doi:10.1093/biomet/asaa057> and Xu He (2018)

Title: Multiresolution Kriging based on Markov random fields
Author: Douglas Nychka, Dorit Hammerling, Stephen Sain, and Tia Lerud
Description: Fixed rank Kriging for large data sets that supports a
large number of basis functions and provides spatial estimates
that are comparable to standard families of covariance
functions and estimates that are close to interpolating the
Depends: R (>= 2.10), methods, spam, fields

Package: LatticeKrig
Version: 1.4
Date: February 6, 2012
Title: Multiresolution Kriging based on Markov random fields
Author: Douglas Nychka, Dorit Hammerling, Stephen Sain, and Tia Lerud
Maintainer: Doug Nychka <nychka@ucar.edu>
Description: Functions for the interpolation of large spatial datasets.
This pacakge uses a "fixed rank Kriging" approach using a large
number of basis functions and provides spatial estimates that
are comparable to standard families of covariance functions and
estimates that are close to interpolating the observations (a
small nugget variance.) The covariance model for this method
approximates the Matern but also allows for a multi-resolution
model and supports efficient computation of the profile
likelihood for estimating covariance parameters. Also included
are generic methods for prediction and plotting of the
estimated surface.
License: GPL (>= 2)
URL: http://www.image.ucar.edu/Software/MRKriging
Depends: R (>= 2.13), methods, spam, fields
Packaged: 2012-02-10 14:50:23 UTC; nychka
Repository: CRAN
Date/Publication: 2012-02-10 16:36:17

Package: LatticeKrig
Version: 2.2.1
Date: August 16, 2012
Title: Multiresolution Kriging based on Markov random fields
Author: Douglas Nychka, Dorit Hammerling, Stephen Sain, and Tia Lerud
Maintainer: Doug Nychka <nychka@ucar.edu>
Description: Functions for the interpolation of large spatial datasets.
This package uses a "fixed rank Kriging" approach using a large
number of basis functions and provides spatial estimates that
are comparable to standard families of covariance functions and
estimates that are close to interpolating the observations (a
small nugget variance.) The covariance model for this method
can approximate the Matern covariance but also allows for a
multi-resolution model and supports efficient computation of
the profile likelihood for estimating covariance parameters.
Also included are generic methods for prediction, standard
errors for prediction, plotting of the estimated surface and
conditional and unconditional simulation.
License: GPL (>= 2)
URL: http://www.image.ucar.edu/Software/MRKriging
Depends: R (>= 2.13), methods, spam, fields
Packaged: 2012-08-28 15:23:15 UTC; nychka
Repository: CRAN
Date/Publication: 2012-08-29 05:11:43