Package: saeMSPE 1.4
saeMSPE: Computing MSPE Estimates in Small Area Estimation
Compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for FH model (Fay and Herriot, 1979) and NER model (Battese et al., 1988) in small area estimation.
Authors:
saeMSPE_1.4.tar.gz
saeMSPE_1.4.zip(r-4.5)saeMSPE_1.4.zip(r-4.4)saeMSPE_1.4.zip(r-4.3)
saeMSPE_1.4.tgz(r-4.5-x86_64)saeMSPE_1.4.tgz(r-4.5-arm64)saeMSPE_1.4.tgz(r-4.4-x86_64)saeMSPE_1.4.tgz(r-4.4-arm64)saeMSPE_1.4.tgz(r-4.3-x86_64)saeMSPE_1.4.tgz(r-4.3-arm64)
saeMSPE_1.4.tar.gz(r-4.5-noble)saeMSPE_1.4.tar.gz(r-4.4-noble)
saeMSPE_1.4.tgz(r-4.3-emscripten)
saeMSPE.pdf |saeMSPE.html✨
saeMSPE/json (API)
| # Install 'saeMSPE' in R: |
| install.packages('saeMSPE', repos = c('https://exce1sior1008.r-universe.dev', 'https://cloud.r-project.org')) |
- wheatarea - Wheat area measurement and satellite data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:71c85b8fb9. Checks:11 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 23 2025 |
| R-4.5-win-x86_64 | OK | Feb 23 2025 |
| R-4.5-mac-x86_64 | OK | Feb 23 2025 |
| R-4.5-mac-aarch64 | OK | Feb 23 2025 |
| R-4.5-linux-x86_64 | OK | Feb 23 2025 |
| R-4.4-win-x86_64 | OK | Feb 23 2025 |
| R-4.4-mac-x86_64 | OK | Feb 23 2025 |
| R-4.4-mac-aarch64 | OK | Feb 23 2025 |
| R-4.3-win-x86_64 | OK | Feb 23 2025 |
| R-4.3-mac-x86_64 | OK | Feb 23 2025 |
| R-4.3-mac-aarch64 | OK | Feb 23 2025 |
Exports:mspeFHdbmspeFHDLmspeFHDRSmspeFHjackmspeFHlinmspeFHMPRmspeFHpbmspeFHPRmspeFHsumcamspeNERdbmspeNERDLmspeNERjackmspeNERlinmspeNERpbmspeNERPRmspeNERsumcavarfhvarnervarOBP
