CompRandFld: Composite-Likelihood Based Analysis of Random Fields

A set of procedures for the analysis of Random Fields using likelihood and non-standard likelihood methods is provided. Spatial analysis often involves dealing with large dataset. Therefore even simple studies may be too computationally demanding. Composite likelihood inference is emerging as a useful tool for mitigating such computational problems. This methodology shows satisfactory results when compared with other techniques such as the tapering method. Moreover, composite likelihood (and related quantities) have some useful properties similar to those of the standard likelihood. Adapts the methodologies derived in Padoan and Bevilacqua (2015) <doi:10.18637/jss.v063.i09>, Padoan et al. (2010) <doi:10.1198/jasa.2009.tm08577>, Davison et al. (2012) <doi:10.1214/11-STS376>, Bevilacqua et al. (2012) <doi:10.1080/01621459.2011.646928>. It also refers to the works of Bevilacqua et al. (2010) <doi:10.1007/s11222-009-9121-3>, Bevilacqua and Gaetan (2013) <doi:10.1007/s11222-014-9460-6>, Cooley et al. (2006) <doi:10.1007/0-387-36062-X_17>, Cressie (1993) <doi:10.1002/9781119115151>, Gaetan and Guyon (2010) <doi:10.1007/978-0-387-92257-7>, Gneiting (2002) <doi:10.1198/016214502760047113>, Gneiting et al. (2007) <https://www.stat.washington.edu/sites/default/files/files/reports/2005/tr475.pdf>, Heagerty and Zeger (1998) <doi:10.1080/01621459.1998.10474097>, Harville (1977) <doi:10.2307/2286796>, Kaufman et al. (2008) <doi:10.1198/016214508000000959>, Shaby and Ruppert (2012) <doi:10.1080/10618600.2012.680819>, Varin and Vidoni (2005) <doi:10.1093/biomet/92.3.519>, Patrick et al. <doi:10.1080/01621459.1998.10473771>, de Haan and Pereira (2006) <doi:10.1214/009053605000000886>, Kabluchko (2010) <doi:10.1007/s10687-010-0110-x>, Kabluchko et al. (2009) <doi:10.1214/09-AOP455>, Schlather (2002) <doi:10.1023/A:1020977924878>, Carlstein (1986) <doi:10.1214/aos/1176350057>, Heagerty and Lumley (2000) <doi:10.2307/2669538>, Lee and Lahiri (2002) <doi:10.1111/1467-9868.00364>, Li et al. (2007) <doi:10.1198/016214507000000202>, de Haan and Ferreira (2006) <doi:10.1007/0-387-34471-3> Smith (1987) <doi:10.1093/biomet/72.1.67>, Chandler and Bate (2007) <doi:10.1093/biomet/asm015>, Rotnitzky and Jewell (1990) <doi:10.1093/biomet/77.3.485>.

Version: 1.0.3-6
Depends: R (≥ 2.10)
Imports: RandomFields, spam, scatterplot3d, fields, mapproj, methods, maps
Published: 2020-01-10
Author: Simone Padoan [cre, aut], Boris Beranger [aut], Moreno Bevilacqua [aut], Alan Genz [ctb] (Author of included MVNDST fragment)
Maintainer: Simone Padoan <simone.padoan at unibocconi.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://faculty.unibocconi.it/simonepadoan
NeedsCompilation: yes
Citation: CompRandFld citation info
In views: Spatial
CRAN checks: CompRandFld results

Downloads:

Reference manual: CompRandFld.pdf
Package source: CompRandFld_1.0.3-6.tar.gz
Windows binaries: r-devel: CompRandFld_1.0.3-6.zip, r-devel-gcc8: CompRandFld_1.0.3-6.zip, r-release: CompRandFld_1.0.3-6.zip, r-oldrel: CompRandFld_1.0.3-6.zip
OS X binaries: r-release: CompRandFld_1.0.3-6.tgz, r-oldrel: CompRandFld_1.0.3-6.tgz
Old sources: CompRandFld archive

Reverse dependencies:

Reverse imports: ExtremalDep

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