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<doi:10.48550/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.
| Version: | 1.1.3 |
| Suggests: | knitr, rmarkdown, numDeriv, purrr, rlang, testthat (≥ 3.0.0), BB, nleqslv, splines2 |
| Published: | 2021-09-06 |
| DOI: | 10.32614/CRAN.package.SemiEstimate |
| Author: | Jinhua Su  [aut,
cre] |
| Maintainer: | Jinhua Su <944866518 at qq.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | SemiEstimate results |
Documentation:
| Reference manual: | SemiEstimate.pdf |
| Vignettes: |
my-vignette |
Downloads:
| Package source: | SemiEstimate_1.1.3.tar.gz |
| Windows binaries: | r-devel: SemiEstimate_1.1.3.zip, r-release: SemiEstimate_1.1.3.zip, r-oldrel: SemiEstimate_1.1.3.zip |
| macOS binaries: | r-release (arm64): SemiEstimate_1.1.3.tgz, r-oldrel (arm64): SemiEstimate_1.1.3.tgz, r-release (x86_64): SemiEstimate_1.1.3.tgz, r-oldrel (x86_64): SemiEstimate_1.1.3.tgz |
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