defaultLogistic: Default Logistic Model for the Ensemble.
In SWS-Methodology/faoswsImputation: Package to perform ensemble imputation for various FAO domains
Description
Usage
Arguments
Value
Note
Description
The model fit is Production = A/(1 + exp(-B(time-C))) , and
fitting is done via non-linear least squares (see ?nls). If this fit fails
to converge, than A is fixed to the maximum Production value and the model
is fit via glm().
Usage
1
Arguments
x
A numeric vector to be imputed.
Value
A numeric vector with the estimated logistic regression model.
Note
If the midpoint of the logistic regression model is outside the range
of the data, then a vector of NA's is returned (to prevent poor
extrapolation).
SWS-Methodology/faoswsImputation documentation built on May 9, 2019, 11:48 a.m.
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Description Usage Arguments Value Note
Description
The model fit is Production = A/(1 + exp(-B(time-C))) , and fitting is done via non-linear least squares (see ?nls). If this fit fails to converge, than A is fixed to the maximum Production value and the model is fit via glm().
Usage
1 |
Arguments
x |
A numeric vector to be imputed. |
Value
A numeric vector with the estimated logistic regression model.
Note
If the midpoint of the logistic regression model is outside the range of the data, then a vector of NA's is returned (to prevent poor extrapolation).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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