sigmoid: The sigmoid transformation

In tsaux: Time Series Forecasting Auxiliary Functions

The sigmoid transformation

Description

The sigmoid function is a smooth, S-shaped function that maps any real-valued input into a bounded interval, typically (0,1) . It is widely used in probability modeling, logistic regression, and neural networks as an activation function.

Usage

sigmoid(lower = 0, upper = 1, ...)

Arguments

lower	lower bound of the variable.
upper	upper bound of the variable.
...	not currently used.

Value

A list with the transform and inverse functions.

Author(s)

Alexios Galanos

Examples

y = cumprod(c(1, 1 + rnorm(100,0.01, 0.005)))
B = sigmoid()
yt = B$transform(y)
ye = B$inverse(yt)

tsaux documentation built on April 4, 2025, 3:08 a.m.