Perform Nonlinear Regression Using 'optim' as the Optimization Engine

A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and Write S (2006, ISBN: 978-0387-30303-1). Performs ordinary least squares (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood (MLE). Also includes the robust outlier detection (ROUT) algorithm; see Motulsky, H and Brown, R (2006) .


Reference manual

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install.packages("OptimModel")

2.0-3 by Steven Novick, a year ago


Browse source code at https://github.com/cran/OptimModel


Authors: Steven Novick [aut, cre] , Mark Culp [ctb]


Documentation:   PDF Manual  


GPL-2 license


Depends on stats, utils, methods, Matrix

Suggests knitr, testthat, rmarkdown, ggplot2


See at CRAN