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CensSpatial  

Censored Spatial Models
View on CRAN: Click here


Download and install CensSpatial package within the R console
Install from CRAN:
install.packages("CensSpatial")

Install from Github:
library("remotes")
install_github("cran/CensSpatial")

Install by package version:
library("remotes")
install_version("CensSpatial", "3.6")



Attach the package and use:
library("CensSpatial")
Maintained by
Alejandro Ordonez
[Scholar Profile | Author Map]
First Published: 2016-10-08
Latest Update: 2023-01-24
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) .
How to cite:
Alejandro Ordonez (2016). CensSpatial: Censored Spatial Models. R package version 3.6, https://cran.r-project.org/web/packages/CensSpatial. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0 (2016-10-08 08:48), 1.1 (2016-10-17 11:09), 1.2 (2016-12-04 17:32), 1.3 (2017-03-03 01:05), 2.1 (2020-01-09 00:30), 2.58 (2020-05-04 10:50), 2.59 (2021-10-16 16:20), 3.0 (2022-08-15 10:10), 3.5 (2023-01-17 08:20)
Other packages that cited CensSpatial R package
View CensSpatial citation profile
Other R packages that CensSpatial depends, imports, suggests or enhances
Complete documentation for CensSpatial
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