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OEFPIL: Optimal Estimation of Function Parameters by Iterated Linearization (original) (raw)

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
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: OEFPIL results

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