OEFPIL: Optimal Estimation of Function Parameters by Iterated Linearization

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

Version: 0.1.0
Depends: R (≥ 3.6.0)
Imports: Deriv, MASS, ggplot2, matrixcalc, minpack.lm, plyr
Published: 2021-03-22
Author: Stanislav Zamecnik [aut, cre], Vojtech Sindlar [aut] (<[email protected]>), Zdenka Gerslova [aut] (<[email protected]>), Gejza Wimmer [aut] (<[email protected]>), Technology Agency of the Czech Republic [fnd] (<https://www.tacr.cz>), Masaryk University, a public university, ID: 00216224 [cph]
Maintainer: Stanislav Zamecnik <xzamecniks at math.muni.cz>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: OEFPIL results

Downloads:

Reference manual: OEFPIL.pdf
Package source: OEFPIL_0.1.0.tar.gz
Windows binaries: r-devel: OEFPIL_0.1.0.zip, r-release: OEFPIL_0.1.0.zip, r-oldrel: OEFPIL_0.1.0.zip
macOS binaries: r-release (arm64): OEFPIL_0.1.0.tgz, r-release (x86_64): OEFPIL_0.1.0.tgz, r-oldrel: OEFPIL_0.1.0.tgz

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