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disaggregation
View on CRAN: Click
here
Download and install disaggregation package within the R console
Install from CRAN:
install.packages("disaggregation")
Install from Github:
library("remotes")
install_github("cran/disaggregation") Install by package version:
library("remotes")
install_version("disaggregation", "0.4.1") Attach the package and use:
library("disaggregation")
Maintained by
Tim Lucas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-06
Latest Update: 2024-10-02
Description:
Fits disaggregation regression models using 'TMB' ('Template Model
Builder'). When the response data are aggregated to polygon level but
the predictor variables are at a higher resolution, these models can be
useful. Regression models with spatial random fields. The package is
described in detail in Nandi et al. (2023) .
How to cite:
Tim Lucas (2019). disaggregation: Disaggregation Modelling. R package version 0.4.1, https://cran.r-project.org/web/packages/disaggregation. Accessed 15 Jul. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for disaggregation
Functions, R codes and Examples using
the disaggregation R package
Some associated functions: as.disag_data . build_mesh . disaggregation-deprecated . dummy . fit_model . getCovariateRasters . getPolygonData . getStartendindex . make_model_object . plot.disag_data . plot.disag_model . plot.disag_prediction . predict.disag_model . predict_model . predict_uncertainty . prepare_data . print.disag_data . print.disag_model . print.disag_prediction . summary.disag_data . summary.disag_model . summary.disag_prediction .
Some associated R codes: build_mesh.R . deprecated.R . extract.R . fit_model.R . matching.R . plotting.R . predict.R . prepare_data.R . roxygentags.R . summary.R . Full disaggregation package functions and examples
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