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OEFPIL

Optimal Estimation of Function Parameters by Iterated Linearization

v0.1.2 · Sep 5, 2025 · GPL (>= 2)

Description

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>.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Deriv MASS ggplot2 matrixcalc minpack.lm plyr OEFPIL

Version History

new 0.1.2 Mar 10, 2026
updated 0.1.2 ← 0.1.1 diff Sep 5, 2025
updated 0.1.1 ← 0.1.0 diff Nov 3, 2021
new 0.1.0 Mar 21, 2021