Tools for Handling Indices and Proportions in Small Area Estimation
Benchmarking Procedure for Model-Based Estimates
Density Plot Function for a summary_fitsae Object
Exporting Results of a Small Area Model Fitting
Extract Posterior Summaries of Target Parameters
Fitting a Small Area Model
Map Relevant Quantities from a Small Area Model
Plot Method for benchmark_fitsae Object
Plot Method for smoothing_fitsae Object
Plot Method for a summary_fitsae Object
Print Method for a benchmark_fitsae Object
Print Method for a estimates_fitsae Object
Print Method for a fitsae Object
Print Method for a smoothing_fitsae Object
Print Method for a summary_fitsae Object
Lauch Shiny App to Performs Small Area Estimation
Variance Smoothing and Effective Sample Sizes Estimation
Summary Method for fitsae Objects
The 'tipsae' Package.
It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process. For further details, refer to De Nicolò and Gardini (2024 <doi:10.18637/jss.v108.i01>).