Package: tipsae 1.0.3

Silvia De Nicolò

tipsae: Tools for Handling Indices and Proportions in Small Area Estimation

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>).

Authors:Silvia De Nicolò [aut, cre], Aldo Gardini [aut]

tipsae_1.0.3.tar.gz
tipsae_1.0.3.zip(r-4.7-x86_64)tipsae_1.0.3.zip(r-4.7-arm64)tipsae_1.0.3.zip(r-4.6-x86_64)tipsae_1.0.3.zip(r-4.6-arm64)
tipsae_1.0.3.tar.gz(r-4.7-arm64)tipsae_1.0.3.tar.gz(r-4.7-x86_64)tipsae_1.0.3.tar.gz(r-4.6-arm64)tipsae_1.0.3.tar.gz(r-4.6-x86_64)
tipsae_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tipsae/json (API)

# Install 'tipsae' in R:
install.packages('tipsae', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • emilia - Poverty in Emilia-Romagna (Italy) Health Districts
  • emilia_cs - Poverty in Emilia-Romagna (Italy) Health Districts in 2016
  • emilia_shp - Shapefile of Emilia-Romagna (Italy) Health Districts

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

onetbbcpp

2.30 score 422 downloads 7 exports 116 dependencies

Last updated from:c6c44c5638. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE287
linux-devel-x86_64NOTE288
source / vignettesOK432
linux-release-arm64NOTE301
linux-release-x86_64NOTE321
windows-devel-arm64NOTE413
windows-devel-x86_64NOTE389
windows-release-arm64NOTE404
windows-release-x86_64NOTE322
wasm-releaseOK238

Exports:benchmarkexportextractfit_saemaprunShiny_tipsaesmoothing

Dependencies:abindbackportsbase64encBHbootbroombslibcachemcallrcarcarDatacheckmateclicolorspacecommonmarkcorrplotcowplotcpp11DerivdescdigestdistributionaldoBydplyrfarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehtmltoolshttpuvinlineisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4lmtestloomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmimeminqamodelrnlmenloptrnnetnumDerivotelpbkrtestpillarpkgbuildpkgconfigpolynomposteriorprocessxpromisespspurrrquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrlangrstanrstatixS7sassscalesshinysourcetoolsspSparseMStanHeadersstringistringrsurvivaltensorAtibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxtablezoo

The tipsae Shiny app
Introduction | Data Page: Input and Preliminary Analysis | Model Fitting and Check Convergence | Results | Conclusion
Rendered fromshiny_tipsae_vignette.pdf.asisusingR.rsp::asis

Last update: 2022-05-17
Started: 2022-05-17

Tools for Mapping Proportions and Indicators on the Unit Interval
Introduction | Methodology | Datasets | Workflow | The Shiny interface | Conclusions and future developments
Rendered fromtipsae_vignette.pdf.asisusingR.rsp::asis

Last update: 2022-02-10
Started: 2022-02-10