nlraa: R package for Nonlinear Regression for Agricultural


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This package supports the following publications:

  1. Archontoulis, S. V., and F. E. Miguez. 2015. Nonlinear Regression Models and Applications in Agricultural Research. Agron. J. 107:786-798.

  2. Miguez, F., S. Archontoulis, H. Dokoohaki 2018. Chapter 15: Nonlinear Regression Models and Applications. In: B. Glaz, K. M. Yeater, editors, Applied Statistics in Agricultural, Biological, and Environmental Sciences, ASA, CSSA, and SSSA, Madison, WI. p. 401-448.

  3. Oddi et. al. (2019). A nonlinear mixed-effects modelling approach for ecological data: Using temporal dynamics of vegetation moisture as an example. Ecology and Evolution.

Other publications where we have used nonlinear mixed models:

  1. Fernando E. Miguez, María Bonita Villamil, Stephen P. Long, Germán A. Bollero, Meta-analysis of the effects of management factors on Miscanthus × giganteus growth and biomass production, Agricultural and Forest Meteorology, Volume 148, Issues 8–9, 2008, Pages 1280-1292, ISSN 0168-1923,
    Supporting information:

  2. Eichenberger, S., F. Miguez, J. Edwards, and A. Knapp. 2015. Changes in Kernel Filling with Selection for Grain Yield in a Maize Population. Crop Sci. 55:521-526.

  3. Stein, M., F. Miguez, and J. Edwards. 2016. Effects of Plant Density on Plant Growth before and after Recurrent Selection in Maize. Crop Sci. 56:2882-2894.


2008 ACS meeting.


Data and code:

Ideas for future versions:

To install