Package: FABInference 0.1
FABInference: FAB p-Values and Confidence Intervals
Frequentist assisted by Bayes (FAB) p-values and confidence interval construction. See Hoff (2019) <arxiv:1907.12589> "Smaller p-values via indirect information", Hoff and Yu (2019) <doi:10.1214/18-EJS1517> "Exact adaptive confidence intervals for linear regression coefficients", and Yu and Hoff (2018) <doi:10.1093/biomet/asy009> "Adaptive multigroup confidence intervals with constant coverage".
Authors:
FABInference_0.1.tar.gz
FABInference_0.1.zip(r-4.5)FABInference_0.1.zip(r-4.4)FABInference_0.1.zip(r-4.3)
FABInference_0.1.tgz(r-4.4-any)FABInference_0.1.tgz(r-4.3-any)
FABInference_0.1.tar.gz(r-4.5-noble)FABInference_0.1.tar.gz(r-4.4-noble)
FABInference_0.1.tgz(r-4.4-emscripten)FABInference_0.1.tgz(r-4.3-emscripten)
FABInference.pdf |FABInference.html✨
FABInference/json (API)
# Install 'FABInference' in R: |
install.packages('FABInference', repos = c('https://pdhoff.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pdhoff/fabinference/issues
Last updated 4 years agofrom:7da4211bf1. 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:fabtzCIfabzCIglmFABlmFABmmleFHmmleFHPrssSplitsfabz
Dependencies:MASS
Readme and manuals
Help Manual
Help page | Topics |
---|---|
z-optimal FAB t-interval | fabtzCI |
FAB z-interval | fabzCI |
FAB inference for generalized linear models | glmFAB |
FAB inference for linear models | lmFAB |
Marginal MLEs for the Fay-Herriot model | mmleFH |
Marginal MLEs for the Fay-Herriot model with known covariance | mmleFHP |
QR decomposition | qr.lmFAB |
Residual sum of squares split | rssSplit |
Bayes-optimal spending function | sfabz |
Summarizing Generalized Linear Model Fits with FAB Inference | summary.glmFAB |
Summarizing Linear Model Fits with FAB Inference | summary.lmFAB |