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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


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