Description Usage Arguments Details Value Author(s) References See Also
View source: R/FitDoubleLogKlHeavy.R
This function fits a double logistic curve to observed values using the function as described in Klosterman et al. (2014), equation 7.
1 2 |
x |
A vector or, better, an univariate ts or zoo object. |
t |
A vector of time (in numeric doys), if not provided index(x) is retrieved. |
tout |
For gapfilling pourposes, a vector of time steps at which the function can be predicted. |
max.iter |
Maximum number of iteraction for a single optimization process. See details. |
sf |
Scaling factors required to normalize the data prior to the fitting. If the function is called by e.g. |
... |
Further arguments currenlty unused. |
The function estimates parameters of the double logistic equation from
Klosterman et al. 2014. The wrapper function KlostermanFit
calls
this function and additionally allows the calculation of uncertainty.
So better use KlostermanFit
. This function performs an optimization
similar in concept to the one performed in FitDoubleLogKlLight
but
with additional recursive optimization which is about 10 times more time
consuming but allows for a better representation of the data. It it suggested
to fit the light version of the equation and if the fit is not good enought,
check this function out.
A list containing the following items.
predicted |
Predicted values from the equation |
params |
Equation parameters |
formula |
The equation |
Gianluca Filippa <gian.filippa@gmail.com>
Klosterman ST, Hufkens K, Gray JM, Melaas E, Sonnentag O, Lavine I, Mitchell L, Norman R, Friedl MA, Richardson A D (2014) Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery, Biogeosciences, 11, 4305-4320, doi:10.5194/bg-11-4305-2014.
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