CensSpatial (2.1)

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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.

Maintainer: Alejandro Ordonez
Author(s): Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos

License: GPL (>= 2)

Uses: geoR, lattice, moments, msm, mvtnorm, numDeriv, optimx, psych, raster, tlrmvnmvt, tmvtnorm

Released 3 months ago.

4 previous versions



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