R package. 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.

References in zbMATH (referenced in 12 articles , 1 standard article )

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  1. Claudia Cappello, Sandra De Iaco, Donato Posa: covatest: An R Package for Selecting a Class of Space-Time Covariance Functions (2020) not zbMATH
  2. Lagos-Álvarez, Bernardo; Padilla, Leonardo; Mateu, Jorge; Ferreira, Guillermo: A Kalman filter method for estimation and prediction of space-time data with an autoregressive structure (2019)
  3. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  4. Alegría, Alfredo; Bevilacqua, Moreno; Porcu, Emilio: Likelihood-based inference for multivariate space-time wrapped-Gaussian fields (2016)
  5. Bevilacqua, M.; Fassò, A.; Gaetan, C.; Porcu, E.; Velandia, D.: Covariance tapering for multivariate Gaussian random fields estimation (2016)
  6. Bevilacqua, Moreno; Alegria, Alfredo; Velandia, Daira; Porcu, Emilio: Composite likelihood inference for multivariate Gaussian random fields (2016)
  7. Bevilacqua, Moreno; Gaetan, Carlo: Comparing composite likelihood methods based on pairs for spatial Gaussian random fields (2015)
  8. Edzer Pebesma; Roger Bivand; Paulo Ribeiro: Software for Spatial Statistics (2015) not zbMATH
  9. Martin Schlather; Alexander Malinowski; Peter Menck; Marco Oesting; Kirstin Strokorb: Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields (2015) not zbMATH
  10. Simone Padoan; Moreno Bevilacqua: Analysis of Random Fields Using CompRandFld (2015) not zbMATH
  11. Bacro, Jean-Noel; Gaetan, Carlo: Estimation of spatial max-stable models using threshold exceedances (2014)
  12. Fawcett, Lee; Walshaw, David: Estimating the probability of simultaneous rainfall extremes within a region: a spatial approach (2014)