Description Usage Arguments Value See Also

This function fits a logistic model to the data via logistic regression (see ?glm and the binomial family). To ensure all x values are between 0 and 1, the values are all divided by the maximum x value. Thus, this model assumes the asymptote is the largest observed x value. Time is the independent variable and is the vector 1:length(x).

1 | ```
logisticGlm(x)
``` |

`x` |
The dependent variable. |

A numeric vector of the same length as x but with the model estimates at each point in time. Note: if the logistic model has it's midpoint outside the range of the data, this function will return a vector of NA's (as the original defaultLogistic function had this behavior to prevent poor fitting).

Other logistic.functions: `logisticNlsIntercept`

,
`logisticNls`

SWS-Methodology/faoswsImputation documentation built on April 7, 2018, 10:12 p.m.

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