logisticGlm: Helper function for defaultLogistic

In SWS-Methodology/faoswsImputation: Package to perform ensemble imputation for various FAO domains

Description

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).

Usage

logisticGlm(x)

Arguments

x	The dependent variable.

Value

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).

See Also

Other logistic.functions: logisticNlsIntercept, logisticNls

SWS-Methodology/faoswsImputation documentation built on May 9, 2019, 11:48 a.m.