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.

AuthorAlejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Date of publication2017-03-03 01:05:49
MaintainerAlejandro Ordonez <ordonezjosealejandro@gmail.com>
LicenseGPL (>= 2)
Version1.3

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.