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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 SuORCID iD [aut, cre]
Maintainer:Jinhua Su <944866518 at qq.com>
License:MIT + fileLICENSE
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:SemiEstimate results

Documentation:

Reference manual:SemiEstimate.html ,SemiEstimate.pdf
Vignettes:my-vignette (source,R code)

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SemiEstimateto link to this page.


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