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drda (version 2.0.5)

logistic4_gradient: 4-parameter logistic function gradient and Hessian

Description

Evaluate at a particular set of parameters the gradient and Hessian of the 4-parameter logistic function.

Usage

logistic4_gradient(x, theta)

logistic4_hessian(x, theta)

logistic4_gradient_hessian(x, theta)

Value

Gradient or Hessian evaluated at the specified point.

Arguments

x

numeric vector at which the function is to be evaluated.

theta

numeric vector with the four parameters in the form c(alpha, delta, eta, phi).

Details

The 4-parameter logistic function f(x; theta) is defined here as

g(x; theta) = 1 / (1 + exp(-eta * (x - phi))) f(x; theta) = alpha + delta g(x; theta)

where theta = c(alpha, delta, eta, phi) and eta > 0. When delta is positive (negative) the curve is monotonically increasing (decreasing).