Censored Spatial Models

It fits linear regression models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. It also offers graphical tools for assessing the fitted model. More details can be found in Ordonez et al. (2018) .


Reference manual

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2.59 by Alejandro Ordonez, 2 months ago

Browse source code at https://github.com/cran/CensSpatial

Authors: Alejandro Ordonez , Christian E. Galarza , Victor H. Lachos

Documentation:   PDF Manual  

GPL (>= 2) license

Imports geoR, Rcpp, stats, graphics, mvtnorm, optimx, tmvtnorm, msm, psych, numDeriv, raster, moments, lattice, tlrmvnmvt

Suggested by RcppCensSpatial.

See at CRAN