Censored Spatial Models

Fits linear regression models for censored spatial data. 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. Also offers graphical tools for assessing the fitted model.


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Reference manual

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install.packages("CensSpatial")

1.3 by Alejandro Ordonez, 2 years 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, stats, graphics, mvtnorm, optimx, tmvtnorm, msm, psych, numDeriv, raster, moments, lattice


See at CRAN