| Name : R-emdi
| |
| Version : 2.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.2.1
| Date : 2024-07-01 18:57:11
|
| Group : Development/Libraries/Other
| Source RPM : R-emdi-2.2.2-lp155.2.1.src.rpm
|
| Size : 4.67 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Estimating and Mapping Disaggregated Indicators
|
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) < doi:10.1002/cjs.10051>), 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)
< doi:10.1080/01621459.1979.10482505>) 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)
< doi:10.18637/jss.v091.i07> and the second package vignette \"A
Framework for Producing Small Area Estimates Based on Area-Level Models
in R\".
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
