Package: gwbr 1.0.5
gwbr: Local and Global Beta Regression
Fit a regression model for when the response variable is presented as a ratio or proportion. This adjustment can occur globally, with the same estimate for the entire study space, or locally, where a beta regression model is fitted for each region, considering only influential locations for that area. Da Silva, A. R. and Lima, A. O. (2017) <doi:10.1016/j.spasta.2017.07.011>.
Authors:
gwbr_1.0.5.tar.gz
gwbr_1.0.5.zip(r-4.5)gwbr_1.0.5.zip(r-4.4)gwbr_1.0.5.zip(r-4.3)
gwbr_1.0.5.tgz(r-4.4-any)gwbr_1.0.5.tgz(r-4.3-any)
gwbr_1.0.5.tar.gz(r-4.5-noble)gwbr_1.0.5.tar.gz(r-4.4-noble)
gwbr_1.0.5.tgz(r-4.4-emscripten)gwbr_1.0.5.tgz(r-4.3-emscripten)
gwbr.pdf |gwbr.html✨
gwbr/json (API)
NEWS
# Install 'gwbr' in R: |
install.packages('gwbr', repos = c('https://romarq23.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/romarq23/gwbr/issues
- saopaulo - Sao Paulo dataset
Last updated 1 years agofrom:76319c5936. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | NOTE | Oct 31 2024 |
R-4.4-mac | NOTE | Oct 31 2024 |
R-4.3-win | NOTE | Oct 31 2024 |
R-4.3-mac | NOTE | Oct 31 2024 |
Exports:betareg_gwbrgss_gwbrgwbr
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Global Beta Regression Model | betareg_gwbr |
Golden Section Search Algorithm | gss_gwbr |
Geographically Weighted Beta Regression | gwbr |
Sao Paulo dataset | saopaulo |