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3-parameter sigmoidal curve.
curvePredictSigmoid(x, params)
The prediction f(x) of the input value(s).
Input value(s).
Parameter vector containing three parameters alpha, beta and gamma.
The model is defined as alpha + beta*(2^(x*gamma))/(1+2^(x*gamma))).
alpha + beta*(2^(x*gamma))/(1+2^(x*gamma)))
if (FALSE) { x <- seq(-5, 5, by=0.1) y <- curvePredictSigmoid(x, c(alpha=2, beta=1, gamma=1.5)) plot(x, y) }
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