Package: sleev 1.2.0
Ran Tao
sleev: Semiparametric Likelihood Estimation with Errors in Variables
Efficient regression analysis under general two-phase sampling, where Phase I includes error-prone data and Phase II contains validated data on a subset.
Authors:
sleev_1.2.0.tar.gz
sleev_1.2.0.zip(r-4.7)sleev_1.2.0.zip(r-4.6)sleev_1.2.0.zip(r-4.5)
sleev_1.2.0.tgz(r-4.6-x86_64)sleev_1.2.0.tgz(r-4.6-arm64)sleev_1.2.0.tgz(r-4.5-x86_64)sleev_1.2.0.tgz(r-4.5-arm64)
sleev_1.2.0.tar.gz(r-4.7-arm64)sleev_1.2.0.tar.gz(r-4.7-x86_64)sleev_1.2.0.tar.gz(r-4.6-arm64)sleev_1.2.0.tar.gz(r-4.6-x86_64)
sleev_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sleev/json (API)
| # Install 'sleev' in R: |
| install.packages('sleev', repos = c('https://dragontaoran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dragontaoran/sleev/issues
Uses libs:
Datasets:
- mock.vccc - Mock VCCC dataset.
Last updated from:a99f25dbb6. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 180 | ||
| linux-devel-x86_64 | OK | 170 | ||
| source / vignettes | OK | 316 | ||
| linux-release-arm64 | OK | 198 | ||
| linux-release-x86_64 | OK | 165 | ||
| macos-release-arm64 | OK | 197 | ||
| macos-release-x86_64 | OK | 330 | ||
| macos-oldrel-arm64 | OK | 160 | ||
| macos-oldrel-x86_64 | OK | 430 | ||
| windows-devel | OK | 181 | ||
| windows-release | OK | 184 | ||
| windows-oldrel | OK | 175 | ||
| wasm-release | OK | 191 |
Exports:cv_linear2phcv_logistic2phlinear2phlogistic2phspline2ph
Dependencies:data.tableRcppRcppArmadilloRcppEigen
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract Coefficients from linear2ph Model | coef.linear2ph coefficients.linear2ph |
| Extract Coefficients from logistic2ph Model | coef.logistic2ph coefficients.logistic2ph |
| Cross-validation log-likelihood prediction for 'linear2ph' | cv_linear2ph |
| Cross-validation log-likelihood prediction for 'logistic2ph' | cv_logistic2ph |
| Sieve maximum likelihood estimator (SMLE) for two-phase linear regression problems | linear2ph |
| Sieve maximum likelihood estimator (SMLE) for two-phase logistic regression problems | logistic2ph |
| Mock VCCC dataset. | mock.vccc |
| Print Method for linear2ph Objects | print.linear2ph |
| Print Method for logistic2ph Objects | print.logistic2ph |
| Print Method for summary.linear2ph Objects | print.summary.linear2ph |
| Print Method for summary.logistic2ph Objects | print.summary.logistic2ph |
| Splines for two-phase regression functions | spline2ph |
| Summary Method for linear2ph Objects | summary.linear2ph |
| Summary Method for logistic2ph Objects | summary.logistic2ph |