The tipsae R package is a dedicated tool for mapping proportions and indicators defined on the unit interval, e.g., common poverty and inequality measures, in the framework of small area estimation. It implements Beta-based Bayesian Hierarchical models at the area-level through Stan language. A set of diagnostics, exploratory analysis and complementary tools, such as benchmarking and variance smoothing methods, complete the package. To enhance accessibility for practitioners, we have developed a user-friendly Shiny application alongside the R package. The purpose of this paper is to illustrate its potential by describing the workflow of a typical small area analysis and by providing the underlying R code. The current version 0.0.18 is avalaible on https://cran.rproject.org/web/packages/tipsae/index.html

De Nicolò, S., Gardini, A. (2024). SAE models for indicators in the unit interval: The tipsae R package and its Shiny interface. THE SURVEY STATISTICIAN, 89(January), 76-85.

SAE models for indicators in the unit interval: The tipsae R package and its Shiny interface

De Nicolò, S;Gardini, A.
2024

Abstract

The tipsae R package is a dedicated tool for mapping proportions and indicators defined on the unit interval, e.g., common poverty and inequality measures, in the framework of small area estimation. It implements Beta-based Bayesian Hierarchical models at the area-level through Stan language. A set of diagnostics, exploratory analysis and complementary tools, such as benchmarking and variance smoothing methods, complete the package. To enhance accessibility for practitioners, we have developed a user-friendly Shiny application alongside the R package. The purpose of this paper is to illustrate its potential by describing the workflow of a typical small area analysis and by providing the underlying R code. The current version 0.0.18 is avalaible on https://cran.rproject.org/web/packages/tipsae/index.html
2024
De Nicolò, S., Gardini, A. (2024). SAE models for indicators in the unit interval: The tipsae R package and its Shiny interface. THE SURVEY STATISTICIAN, 89(January), 76-85.
De Nicolò, S; Gardini, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/974015
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