CensSpatial: 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.

Getting started

Package details

AuthorAlejandro Ordonez, Christian E. Galarza, Victor H. Lachos
MaintainerAlejandro Ordonez <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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CensSpatial documentation built on Jan. 9, 2020, 1:09 a.m.