Package: CensSpatial 3.6
CensSpatial: 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) <doi:10.1016/j.spasta.2017.12.001>.
Authors:
CensSpatial_3.6.tar.gz
CensSpatial_3.6.zip(r-4.5)CensSpatial_3.6.zip(r-4.4)CensSpatial_3.6.zip(r-4.3)
CensSpatial_3.6.tgz(r-4.5-any)CensSpatial_3.6.tgz(r-4.4-any)CensSpatial_3.6.tgz(r-4.3-any)
CensSpatial_3.6.tar.gz(r-4.5-noble)CensSpatial_3.6.tar.gz(r-4.4-noble)
CensSpatial_3.6.tgz(r-4.4-emscripten)CensSpatial_3.6.tgz(r-4.3-emscripten)
CensSpatial.pdf |CensSpatial.html✨
CensSpatial/json (API)
| # Install 'CensSpatial' in R: |
| install.packages('CensSpatial', repos = c('https://joalor93.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/joalor93/censspatial/issues
Last updated 2 years agofrom:eda79c90e9. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 10 2025 |
| R-4.5-win | NOTE | Mar 10 2025 |
| R-4.5-mac | NOTE | Mar 10 2025 |
| R-4.5-linux | NOTE | Mar 10 2025 |
| R-4.4-win | NOTE | Mar 10 2025 |
| R-4.4-mac | NOTE | Mar 10 2025 |
| R-4.4-linux | NOTE | Mar 10 2025 |
| R-4.3-win | NOTE | Mar 10 2025 |
| R-4.3-mac | NOTE | Mar 10 2025 |
Exports:algnaive12derivcormatrixderivQfundistmatrixlocalinfmeaspredgraphicspredSCLrspacensSAEMSCLSeminaive
Dependencies:BHcliexpmfansigenericsgeoRgluegmmGPArotationlatticelifecyclemagrittrMASSMatrixmnormtmomentsmsmmvtnormnlmenloptrnumDerivoptimxpillarpkgconfigpracmapsychrasterRcppRcppEigenrlangsandwichspsplancssurvivalterratibbletlrmvnmvttmvtnormutf8vctrszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Naive 1 and Naive 2 method for spatial prediction. | algnaive12 |
| Depths of a geological horizon. | depth |
| First and second derivates of some correlation matrix | derivcormatrix |
| Maximum Likelihood Expectation (logQ function and its derivates) | derivQfun |
| Distance matrix | distmatrix |
| Local influence measures. | localinfmeas |
| TCDD concentrations in Missouri (1971). | Missouri |
| Prediction graphics for SAEM Algortihm for censored spatial data. | predgraphics |
| Prediction for the SAEM algorithm for censored spatial data. | predSCL |
| Censored Spatial data simulation | rspacens |
| SAEM Algorithm estimation for censored spatial data. | SAEMSCL |
| Seminaive algorithm for spatial censored prediction. | Seminaive |
| Summary of a naive object | summary.naive |
| Summary of a SAEMSpatialCens object. | summary.SAEMSpatialCens |
| Summary of a seminaive object | summary.seminaive |
