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 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: |
0.1.1 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
Deriv, MASS, ggplot2, matrixcalc, minpack.lm, plyr |
| Published: |
2021-11-04 |
| 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:
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