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tipsae
View on CRAN: Click
here
Download and install tipsae package within the R console
Install from CRAN:
install.packages("tipsae")
Install from Github:
library("remotes")
install_github("cran/tipsae")
Install by package version:
library("remotes")
install_version("tipsae", "1.0.3")
Attach the package and use:
library("tipsae")
Maintained by
Silvia De Nicolò
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-10
Latest Update: 2023-07-04
Description:
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>).
How to cite:
Silvia De Nicolò (2022). tipsae: Tools for Handling Indices and Proportions in Small Area Estimation. R package version 1.0.3, https://cran.r-project.org/web/packages/tipsae. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that tipsae depends,
imports, suggests or enhances
Complete documentation for tipsae
Functions, R codes and Examples using
the tipsae R package
Some associated functions: benchmark . density.summary_fitsae . emilia . emilia_cs . emilia_shp . export . extract . fit_sae . map . plot.benchmark_fitsae . plot.smoothing_fitsae . plot.summary_fitsae . runShiny_tipsae . smoothing . summary.fitsae . tipsae-package .
Some associated R codes: app_launcher.R . benchmark.R . check_fit.R . data.R . density_summary.R . export.R . extract.R . fit_sae.R . map.R . plot_summary.R . smoothing.R . stanmodels.R . summary_fitsae.R . tipsae-package.R . util_fit.R . Full tipsae package functions and examples
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