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Package: convoSPAT Type: Package Title: Convolution-Based Nonstationary Spatial Modeling Version: 1.2.6 Date: 2020-01-22 Authors@R: person("Mark D.", "Risser", email = "email@example.com", role = c("aut", "cre")) Description: Fits convolution-based nonstationary Gaussian process models to point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying correlation structure and which spatial dependence parameters should be allowed to vary over space: the anisotropy, nugget variance, and process variance. The parameters are estimated via maximum likelihood, using a local likelihood approach. Also provided are functions to fit stationary spatial models for comparison, calculate the Kriging predictor and standard errors, and create various plots to visualize nonstationarity. Depends: R (>= 3.1.2) License: MIT + file LICENSE LazyData: TRUE Imports: stats, graphics, ellipse, fields, MASS, plotrix, StatMatch URL: http://github.com/markdrisser/convoSPAT RoxygenNote: 6.1.1 NeedsCompilation: no Packaged: 2020-01-23 18:28:30 UTC; MDRisser Author: Mark D. Risser [aut, cre] Maintainer: Mark D. Risser <firstname.lastname@example.org> Repository: CRAN Date/Publication: 2020-01-23 18:50:02 UTC