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. More details can be found in Ordonez et al. (2018) .


News

Reference manual

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

install.packages("CensSpatial")

2.59 by Alejandro Ordonez, 2 months 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, Rcpp, stats, graphics, mvtnorm, optimx, tmvtnorm, msm, psych, numDeriv, raster, moments, lattice, tlrmvnmvt


Suggested by RcppCensSpatial.


See at CRAN