Package: fabCI 0.2
fabCI: FAB Confidence Intervals
Frequentist assisted by Bayes (FAB) confidence interval construction. See 'Adaptive multigroup confidence intervals with constant coverage' by Yu and Hoff <doi:10.1093/biomet/asy009> and 'Exact adaptive confidence intervals for linear regression coefficients' by Hoff and Yu <doi:10.1214/18-EJS1517>.
Authors:
fabCI_0.2.tar.gz
fabCI_0.2.zip(r-4.5)fabCI_0.2.zip(r-4.4)fabCI_0.2.zip(r-4.3)
fabCI_0.2.tgz(r-4.4-any)fabCI_0.2.tgz(r-4.3-any)
fabCI_0.2.tar.gz(r-4.5-noble)fabCI_0.2.tar.gz(r-4.4-noble)
fabCI_0.2.tgz(r-4.4-emscripten)fabCI_0.2.tgz(r-4.3-emscripten)
fabCI.pdf |fabCI.html✨
fabCI/json (API)
# Install 'fabCI' in R: |
install.packages('fabCI', repos = c('https://pdhoff.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pdhoff/fabci/issues
- radon - Minnesota Radon Dataset
Last updated 4 years agofrom:bd2004c9dc. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:ebayes_estfabregCIfabtCIfabtwzCIfabtzCIfabzCIhhetmodelhhommodelmultifabCImultifabCIhompppacceptsfabzumauregCIwfabt
Dependencies:MASS
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Empirical Bayes estimation of hyperparameters | ebayes_est |
FAB regression coefficient intervals | fabregCI |
FAB t-interval | fabtCI |
z-optimal FAB t-interval | fabtzCI |
FAB z-interval | fabzCI |
Hierarchical heteroscedastic model estimates | hhetmodel |
Hierarchical homoscedastic model estimates | hhommodel |
Multigroup FAB t-intervals | multifabCI |
Multigroup FAB t-intervals for the homoscedastic model | multifabCIhom |
Minnesota Radon Dataset | radon |
Bayes-optimal spending function | sfabz |
UMAU regression coefficient intervals | umauregCI |