Package: saeHB.unit 0.1.0
Ridson Al Farizal P
saeHB.unit: Basic Unit Level Model using Hierarchical Bayesian Approach
Small area estimation unit level models (Battese-Harter-Fuller model) with a Bayesian Hierarchical approach. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Battese et al. (1988) <doi:10.1080/01621459.1988.10478561>.
Authors:
saeHB.unit_0.1.0.tar.gz
saeHB.unit_0.1.0.zip(r-4.5)saeHB.unit_0.1.0.zip(r-4.4)saeHB.unit_0.1.0.zip(r-4.3)
saeHB.unit_0.1.0.tgz(r-4.4-any)saeHB.unit_0.1.0.tgz(r-4.3-any)
saeHB.unit_0.1.0.tar.gz(r-4.5-noble)saeHB.unit_0.1.0.tar.gz(r-4.4-noble)
saeHB.unit_0.1.0.tgz(r-4.4-emscripten)saeHB.unit_0.1.0.tgz(r-4.3-emscripten)
saeHB.unit.pdf |saeHB.unit.html✨
saeHB.unit/json (API)
NEWS
# Install 'saeHB.unit' in R: |
install.packages('saeHB.unit', repos = c('https://alfrzlp.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alfrzlp/saehb.unit/issues
- cornsoybean - Corn and soy beans survey and satellite data in 12 counties in Iowa
- cornsoybeanmeans - Corn and soy beans mean number of pixels per segment for 12 counties in Iowa.
- dummy_area - Dummy_area
- dummy_unit - Dummy_unit
Last updated 11 months agofrom:cde6c5d97a. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 11 2024 |
R-4.5-win | NOTE | Sep 11 2024 |
R-4.5-linux | NOTE | Sep 11 2024 |
R-4.4-win | NOTE | Sep 11 2024 |
R-4.4-mac | NOTE | Sep 11 2024 |
R-4.3-win | NOTE | Sep 11 2024 |
R-4.3-mac | NOTE | Sep 11 2024 |
Dependencies:clicodadplyrfansigenericsgluelatticelifecyclemagrittrpillarpkgconfigR6rjagsrlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create a complete ggplot appropriate to a particular data type | autoplot |
Autoplot | autoplot.saehb |
Corn and soy beans survey and satellite data in 12 counties in Iowa | cornsoybean |
Corn and soy beans mean number of pixels per segment for 12 counties in Iowa. | cornsoybeanmeans |
dummy_area | dummy_area |
dummy_unit | dummy_unit |
Basic Unit Level Model (Battese-Harter-Fuller model) using Hierarchical Bayesian Approach | hb_unit |
Summary sae HB model | summary.saehb |