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 (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

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