CRAN/E | CensSpatial

CensSpatial

Censored Spatial Models

Installation

About

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.

Key Metrics

Version 3.6
R ≥ 4.1.0
Published 2023-01-24 447 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Alejandro Ordonez

ordonezjosealejandro@gmail.com

Authors

Alejandro Ordonez
Christian E. Galarza
Victor H. Lachos

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CensSpatial archive

Depends

R ≥ 4.1.0

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