CensSpatial: 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.

Version: 1.3
Imports: geoR, stats, graphics, mvtnorm, optimx, tmvtnorm, msm, psych, numDeriv, raster, moments, lattice
Published: 2017-03-03
Author: Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Maintainer: Alejandro Ordonez <ordonezjosealejandro at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: CensSpatial results


Reference manual: CensSpatial.pdf
Package source: CensSpatial_1.3.tar.gz
Windows binaries: r-devel: CensSpatial_1.3.zip, r-release: CensSpatial_1.3.zip, r-oldrel: CensSpatial_1.3.zip
OS X El Capitan binaries: r-release: CensSpatial_1.3.tgz
OS X Mavericks binaries: r-oldrel: CensSpatial_1.3.tgz
Old sources: CensSpatial archive


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