Package: snreg 1.1.0

Oleg Badunenko
snreg: Regression with Skew-Normally Distributed Error Term
Models with a skew-normally distributed error term: Badunenko & Henderson (2023). Production analysis with asymmetric noise. Journal of Productivity Analysis, https://doi.org/10.1007/s11123-023-00680-5.
Authors:
snreg_1.1.0.tar.gz
snreg_1.1.0.zip(r-4.7)snreg_1.1.0.zip(r-4.6)snreg_1.1.0.zip(r-4.5)
snreg_1.1.0.tgz(r-4.6-x86_64)snreg_1.1.0.tgz(r-4.6-arm64)snreg_1.1.0.tgz(r-4.5-x86_64)snreg_1.1.0.tgz(r-4.5-arm64)
snreg_1.1.0.tar.gz(r-4.7-arm64)snreg_1.1.0.tar.gz(r-4.7-x86_64)snreg_1.1.0.tar.gz(r-4.6-arm64)snreg_1.1.0.tar.gz(r-4.6-x86_64)
snreg_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
snreg/json (API)
| # Install 'snreg' in R: |
| install.packages('snreg', repos = c('https://olegbadunenko.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/olegbadunenko/snreg/issues
Pkgdown/docs site:https://olegbadunenko.github.io
- banks07 - U.S. Commercial Banks Data
Last updated from:3563954b19. Checks:11 WARNING, 1 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 161 | ||
| linux-devel-x86_64 | WARNING | 129 | ||
| source / vignettes | ERROR | 182 | ||
| linux-release-arm64 | WARNING | 160 | ||
| linux-release-x86_64 | WARNING | 126 | ||
| macos-release-arm64 | WARNING | 215 | ||
| macos-release-x86_64 | WARNING | 238 | ||
| macos-oldrel-arm64 | WARNING | 165 | ||
| macos-oldrel-x86_64 | WARNING | 283 | ||
| windows-devel | WARNING | 90 | ||
| windows-release | WARNING | 96 | ||
| windows-oldrel | WARNING | 91 | ||
| wasm-release | OK | 127 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| U.S. Commercial Banks Data | banks07 |
| Extract Model Coefficients | coef.snreg |
| Linear Regression via MLE | lm.mle |
| Print Summary of snreg Results | print.summary.snreg |
| Residuals for snreg Objects | residuals.snreg |
| Linear Regression with Skew-Normal Errors | snreg |
| Stochastic Frontier Model with a Skew-Normally Distributed Error Term | snsf |
| Summary Utility ('su') | su |
| Summary for Skew-Normal Regression Models | summary.snreg |
| Compute Owen's T Function 'T(h, a)' | TOwen |
| Compute Owen-like Function 'TOwen1(h, a)' | TOwen1 |
| Extract the Variance–Covariance Matrix | vcov.snreg |