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emdi  

Estimating and Mapping Disaggregated Indicators
View on CRAN: Click here


Download and install emdi package within the R console
Install from CRAN:
install.packages("emdi")

Install from Github:
library("remotes")
install_github("cran/emdi")

Install by package version:
library("remotes")
install_version("emdi", "2.2.2")



Attach the package and use:
library("emdi")
Maintained by
Soeren Pannier
[Scholar Profile | Author Map]
First Published: 2016-11-08
Latest Update: 2023-06-14
Description:
Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the model-based unit-level approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) ), the area-level model (see "Estimates of income for small places: An application of James-Stein procedures to Census Data" by Fay and Herriot (1979) ) and various extensions of it (adjusted variance estimation methods, log and arcsin transformation, spatial, robust and measurement error models), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel. For a detailed description of the package and the methods used see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) and the second package vignette "A Framework for Producing Small Area Estimates Based on Area-Level Models in R".
How to cite:
Soeren Pannier (2016). emdi: Estimating and Mapping Disaggregated Indicators. R package version 2.2.2, https://cran.r-project.org/web/packages/emdi. Accessed 27 Feb. 2025.
Previous versions and publish date:
1.0.0 (2016-11-08 16:50), 1.1.0 (2017-05-18 09:19), 1.1.1 (2017-07-06 16:41), 1.1.2 (2018-04-04 15:06), 1.1.3 (2018-07-24 17:30), 1.1.4 (2018-10-10 19:10), 1.1.5 (2019-04-08 18:42), 1.1.6 (2019-10-27 00:30), 1.1.7 (2020-03-18 16:30), 2.0.0 (2020-07-07 14:50), 2.0.1 (2020-07-10 17:20), 2.0.2 (2021-02-03 18:10), 2.0.3 (2021-05-17 00:30), 2.1.0 (2021-07-07 18:20), 2.1.1 (2022-01-04 15:50), 2.1.2 (2022-08-21 00:10), 2.1.3 (2022-11-30 23:00), 2.2.0 (2023-10-31 08:05), 2.2.1 (2023-11-05 13:40)
Other packages that cited emdi R package
View emdi citation profile
Other R packages that emdi depends, imports, suggests or enhances
Complete documentation for emdi
Functions, R codes and Examples using the emdi R package
Some associated functions: benchmark_emdi . combine_data . compare . compare_plot . compare_pred . data_transformation . direct . ebp . emdi . emdiObject . emdi_summaries . estimators . eusilcA_pop . eusilcA_popAgg . eusilcA_prox . eusilcA_smp . eusilcA_smpAgg . fh . fixef . getData . getGroups . getGroupsFormula . getResponse . getVarCov . intervals . load_shapeaustria . map_plot . plot.emdi . predict.emdi . qqnorm.emdi . ranef . spatialcor.tests . step . write.excel . 
Some associated R codes: FH.R . auxiliary_functions.R . back_transformation.R . benchmark.R . check_compare_arguments.R . check_direct_arguments.R . check_ebp_arguments.R . check_estimators_arguments.R . check_fh_arguments.R . check_mapplot_arguments.R . check_plot_arguments.R . check_writeexcel_arguments.R . combine_data.R . compare.R . compare_plot.R . compare_plot.direct.R . compare_plot.ebp.R . compare_plot.fh.R . direct_estimation.R . direct_variance.R . drop1.add1.fh.R . eblup.R . eblup_robust.R . ebp.R . emdi.R . emdiObject.R . estim_sigmau2.R . estimators.emdi.R . eusilcA_pop.R . eusilcA_popAgg.R . eusilcA_prox.R . eusilcA_smp.R . eusilcA_smpAgg.R . framework_direct.R . framework_ebp.R . framework_fh.R . load_shape.R . map_plot.R . mse.R . mse_emdi.R . mse_estimation.R . nlme_methods.R . optimal_parameter.R . plot.ebp.R . plot.emdi.R . plot.fh.R . point_emdi.R . point_estimation.R . point_estimation_direct.R . print.emdi.R . qqnorm.R . spatialcor.R . stats_methods.R . step.R . summary.direct.R . summary.ebp.R . summary.emdi.R . summary.fh.R . transformation_functions.R . variable_selection.R . write.excel.emdi.R . write.ods.emdi.R .  Full emdi package functions and examples
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