Description Usage Arguments Value References Examples
This function performs the updated nonlinear least squares (NLS) regression method for the cosine model (see Chazin et al. 2019).
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data |
A data frame that contains the data for one individual. There should be two columns with names 'distance' and 'oxygen'. |
amplitude |
Initial value for the amplitude parameter for the |
intercept |
Initial value for the intercept parameter for the |
method |
A character string giving the initialization for the nonlinear least squares regression. This must be either |
A fitted model object from the nls function in R:
m |
an 'nlsModel' object incorporating the model. |
convInfo |
a list with convergence information |
data |
the expression that was passed to 'nls' as the data argument. The actual data values are present in the environment of the 'm' component. |
call |
the matched call with several components, notably 'algorithm' |
dataClasses |
the '"dataClasses"' attribute (if any) of the '"terms"' attribute of the model frame. |
control |
the control 'list' used |
Florent Baty, Christian Ritz, Sandrine Charles, Martin Brutsche, Jean-Pierre Flandrois, Marie-Laure Delignette-Muller (2015). A Toolbox for Nonlinear Regression in R: The Package nlstools. Journal of Statistical Software, 66(5), 1-21. URL http://www.jstatsoft.org/v66/i05/.
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