sigmoid_sharp: sigmoid_sharp

In bliss: Bayesian Functional Linear Regression with Sparse Step Functions

sigmoid_sharp

Description

Compute a sharp sigmoid function.

Usage

sigmoid_sharp(x, loc = 0, ...)

Arguments

x	a numerical vector, time points.
loc	a numerical value (optional), the time of the sharp.
...	Arguments (optional) for the function sigmoid.

Details

see the function sim_x.

Value

a numerical vector.

Examples

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

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