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OEFPIL: Optimal Estimation of Function Parameters by IteratedLinearization

Package for estimating the parameters of a nonlinear function using iterated linearization via Taylor series. Method is based on Kubáček (2000) ISBN: 80-244-0093-6. The algorithm is a generalization of the procedure given in Köning, R., Wimmer, G. and Witkovský, V. (2014) <doi:10.1088/0957-0233/25/11/115001>.

Version:0.1.2
Depends:R (≥ 3.6.0)
Imports:Deriv,MASS,ggplot2,matrixcalc,minpack.lm,plyr
Published:2025-09-05
DOI:10.32614/CRAN.package.OEFPIL
Author:Stanislav Zamecnik [aut, cre], Vojtech Sindlar [aut] (<xsindlarv@math.muni.cz>), Zdenka Gerslova [aut] (<gerslovaz@math.muni.cz>), Gejza Wimmer [aut] (<wimmer@mat.savba.sk>), Technology Agency of the Czech Republic [fnd] (<https://www.tacr.cz>), Masaryk University, a public university, ID: 00216224 [cph]
Maintainer:Stanislav Zamecnik <zamecnik at math.muni.cz>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:OEFPIL results

Documentation:

Reference manual:OEFPIL.html ,OEFPIL.pdf

Downloads:

Package source: OEFPIL_0.1.2.tar.gz
Windows binaries: r-devel:OEFPIL_0.1.2.zip, r-release:OEFPIL_0.1.2.zip, r-oldrel:OEFPIL_0.1.2.zip
macOS binaries: r-release (arm64):OEFPIL_0.1.2.tgz, r-oldrel (arm64):OEFPIL_0.1.2.tgz, r-release (x86_64):OEFPIL_0.1.2.tgz, r-oldrel (x86_64):OEFPIL_0.1.2.tgz
Old sources: OEFPIL archive

Linking:

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


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