Package: CensSpatial
Type: Package
Title: Censored Spatial Models
Version: 3.6
Depends: R (>= 4.1.0)
Date: 2023-01-18
Author: Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Maintainer: Alejandro Ordonez <ordonezjosealejandro@gmail.com>
Imports: geoR (>= 1.8-1), Rcpp, stats, graphics, mvtnorm, optimx (>=
        2021.10-12), tmvtnorm (>= 1.4-10), msm, psych, numDeriv (>=
        2.11.1),raster,moments (>= 0.14),lattice, tlrmvnmvt (>= 1.1.0)
Description: 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) <doi:10.1016/j.spasta.2017.12.001>.
License: GPL (>=2)
Config/pak/sysreqs: cmake libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://joalor93.r-universe.dev
Date/Publication: 2023-01-25 06:16:57 UTC
RemoteUrl: https://github.com/joalor93/censspatial
RemoteRef: HEAD
RemoteSha: eda79c90e9dc4cdff744ad1e55aa34046c10529c
NeedsCompilation: no
Packaged: 2026-07-12 06:33:08 UTC; root