nls2

R package nls2: Non-linear regression with brute force , Adds algorithm=”brute-force” and multiple starting values to nls. (Source: http://cran.r-project.org/web/packages)

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Bartok, Larissa; Burzler, Matthias A.: How to assess rater rankings? A theoretical and a simulation approach using the sum of the pairwise absolute row differences (PARDs) (2020)
  2. Pavía, Jose M.; Morillas, Francisco G.; Bosch-Rodríguez, Juan Carlos: Using parametric bootstrap to introduce and manage uncertainty: replicated loaded insurance life tables (2019)
  3. Florent Baty; Christian Ritz; Sandrine Charles; Martin Brutsche; Jean-Pierre Flandrois; Marie-Laure Delignette-Muller: A Toolbox for Nonlinear Regression in R: The Package nlstools (2015) not zbMATH
  4. Nash, John C.: Nonlinear parameter optimization using R tools (2014)
  5. Ritz, Christian; Streibig, Jens Carl: Nonlinear regression with R (2008)
  6. Bouvier, A.; Huet, S.: nls2: Nonlinear regression by S-PLUS-functions (1994)