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.

Version: 1.1.3
Suggests: knitr, rmarkdown, numDeriv, purrr, rlang, testthat (≥ 3.0.0), BB, nleqslv, splines2
Published: 2021-09-06
Author: Jinhua Su ORCID iD [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-release (x86_64): SemiEstimate_1.1.3.tgz, r-oldrel: SemiEstimate_1.1.3.tgz

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