sigmoid: sigmoid

In bliss: Bayesian Functional Linear Regression with Sparse Step Functions

sigmoid

Description

Compute a sigmoid function.

Usage

sigmoid(x, asym = 1, v = 1)

Arguments

x	a numerical vector, time points.
asym	a numerical value (optional), the asymptote of the sigmoid function.
v	a numerical value (optional), related to the slope at the origin.

Details

see the function sim_x.

Value

a numerical vector.

Examples

## Test 1 :
x <- seq(-7,7,0.1)
y <- sigmoid(x)
plot(x,y,type="l",main="Sigmoid function")
## Test 2 :
x  <- seq(-7,7,0.1)
y  <- sigmoid(x)
y2 <- sigmoid(x,asym=0.5)
y3 <- sigmoid(x,v   =  5)
plot(x,y,type="l",main="Other sigmoid functions")
lines(x,y2,col=2)
lines(x,y3,col=3)

bliss documentation built on May 29, 2024, 8:35 a.m.