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Classical Hill-equation parameterisation for positive-valued x: $$y = a + \frac{d - a}{1 + (c / x)^b}$$

Usage

loglogistic4(x, a, b, c, d)

Arguments

x

Numeric vector. Independent variable (typically log10-concentration).

a

Numeric scalar. Lower asymptote (baseline response).

b

Numeric scalar. Scale parameter (\(b > 0\)); controls steepness.

c

Numeric scalar. Inflection-point location on the x-axis.

d

Numeric scalar. Upper asymptote (saturation response).

Value

Numeric vector of predicted response values.

Details

Here \(c\) is the EC50 (inflection on the concentration scale) and \(b > 0\) is the Hill coefficient. Requires \(x > 0\) and \(c > 0\).

Domain restriction

This model requires positive x. When the independent variable is log10-transformed (and can be negative), use logistic4() instead — on the log scale the two models are algebraically equivalent.

See also