minpack.lm: R interface to the Levenberg-Marquardt nonlinear least-squares algorithm found in MINPACK, plus support for bounds. The nls.lm function provides an R interface to lmder and lmdif from the MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt algorithm, with support for lower and upper parameter bounds. The implementation can be used via nls-like calls using the nlsLM function.

References in zbMATH (referenced in 10 articles )

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  1. Viviane Philipps, Boris P Hejblum, Mélanie Prague, Daniel Commenges, Cécile Proust-Lima: Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg (2020) arXiv
  2. Giorgio Speranza, Roberto Canteri: RxpsG a new open project for Photoelectron and Electron Spectroscopy data processing (2019) not zbMATH
  3. Charles J. Marsh, Louise J. Barwell, Yoni Gavish, William E. Kunin: downscale: An R Package for Downscaling Species Occupancy from Coarse-Grain Data to Predict Occupancy at Fine-Grain Sizes (2018) not zbMATH
  4. Mazza, Angelo; Punzo, Antonio: Bivariate discrete beta kernel graduation of mortality data (2015)
  5. Biermans, Geert; Horemans, Nele; Hens, Niel; Vives i. Batlle, Jordi; Vandenhove, Hildegarde; Cuypers, Ann: A dynamic dosimetry model for radioactive exposure scenarios in \textitArabidopsisthaliana (2014)
  6. Nash, John C.: Nonlinear parameter optimization using R tools (2014)
  7. Angelo Mazza, Antonio Punzo: DBKGrad: An R Package for Mortality Rates Graduation by Fixed and Adaptive Discrete Beta Kernel Techniques (2012) arXiv
  8. Brandon Whitcher; Volker Schmid: Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R (2011) not zbMATH
  9. Karline Soetaert; Thomas Petzoldt: Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME (2010) not zbMATH
  10. Wang, D.; Soong, S.-J.: Comparisons of titer estimation methods for multiplexed pneumococcal opsonophagocytic Killing assay (2008)