Package: SemiEstimate 1.1.4
SemiEstimate: Solve Semi-Parametric Estimation by Implicit Profiling
Semi-parametric estimation problem can be solved by two-step Newton-Raphson iteration. The implicit profiling method<arxiv:2108.07928> is an improved method of two-step NR iteration especially for the implicit-bundled type of the parametric part and non-parametric part. This package provides a function semislv() supporting the above two methods and numeric derivative approximation for unprovided Jacobian matrix.
Authors:
SemiEstimate_1.1.4.tar.gz
SemiEstimate_1.1.4.zip(r-4.5)SemiEstimate_1.1.4.zip(r-4.4)SemiEstimate_1.1.4.zip(r-4.3)
SemiEstimate_1.1.4.tgz(r-4.4-any)SemiEstimate_1.1.4.tgz(r-4.3-any)
SemiEstimate_1.1.4.tar.gz(r-4.5-noble)SemiEstimate_1.1.4.tar.gz(r-4.4-noble)
SemiEstimate_1.1.4.tgz(r-4.4-emscripten)SemiEstimate_1.1.4.tgz(r-4.3-emscripten)
SemiEstimate.pdf |SemiEstimate.html✨
SemiEstimate/json (API)
| # Install 'SemiEstimate' in R: |
| install.packages('SemiEstimate', repos = c('https://jinhuasu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jinhuasu/semiestimate/issues
Last updated 2 years agofrom:96a6f984f5. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | NOTE | Oct 26 2024 |
| R-4.5-linux | NOTE | Oct 26 2024 |
| R-4.4-win | NOTE | Oct 26 2024 |
| R-4.4-mac | NOTE | Oct 26 2024 |
| R-4.3-win | NOTE | Oct 26 2024 |
| R-4.3-mac | NOTE | Oct 26 2024 |
Exports:semislv
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Solve Semi-parametric estimation by implicit profiling | semislv |
