arctanf: Arctanget model for the parametric nonlinear mixed effects...

In unkyunglee/HDChangePoint: Estimating disease onset from change points of markers measured with error

Description

Arctanget model for the parametric nonlinear mixed effects model (nlme) procedure

Usage

arctanf(gam1, gam2, gam3, gam4, logage)

Arguments

gam1	a scale parameter.
gam2	a parameter for an inflection point.
gam3	a parameter, which determines steepness of the arctangent model.
gam4	a vertical shift parameter that can shift the maximum and the minimum of the function values.
logage	a vector of time points (log-scaled ages), which is generated around gam2. It can be an any length of vector.

Value

a vector of response variables under the deterministic arctangent model, whose length is the same as the length of logage.

Examples

library(HDChangePoint)
## Specify parameters
gam1=2.45/pi
gam2=0
gam3=pi/1.1
gam4=0.8

## Specify the time points (log-scaled ages)
logage<-seq(-0.5, 0.5, by=0.1)

## Obtain a vector of response variables when parametric NLME assumes the arctangent model
arctanft<-arctanf(2.45/pi, 0, pi/1.1, 0.8, logage)

## Plot the S-shaped curve under the arctangent model
plot(logage, arctanft, type='l')

unkyunglee/HDChangePoint documentation built on Nov. 27, 2021, 2:57 p.m.