5PL: Functions Related to 5PL Function

In nCal: Nonlinear Calibration

Description

5PL functions.

Usage

FivePL.t (t,param)
FivePL.t.func (param) 
FivePL.x (x,param)
FivePL.x.inv (y,param)
FivePL.x.inv.func (param)
FivePL.t.inv (y,param) 
FivePL.t.inv.func (param) 
FourPL.x.inv (y, param)  
FourPL.x (x, param)
FourPL.t.func (param)
cla2gh (param)
gh2cla (param)
cla2ed50 (param)
cla2ed50b (param)
ed502cla (param)
ed50b2cla (param)
get.curve.param.list (param)
simulate1curve (param, t, sd.e=0.1, expy=TRUE, gamma=0) 
vpl1.deriv (x,param)
vpl1.deriv.func (param)
vpl2.deriv (x,param)
vpl2.deriv.func (param)
vpl3.deriv (x,param)
vpl3.deriv.func (param)

ED5PL (param, tao)

Arguments

param	vector of numbers. Parameters of the 5PL curve.
t	numeric vector. Log concentrations.
x	numeric vector. Concentrations.
y	numeric vector. Response.
sd.e	sd.e
tao	vector of numbers or single number. Effective doses. Vectorized for this argument.
expy	Boolean. Controls whether to exponentiate y
gamma	power variance function parameter

Details

FivePL.t and other functions are vectorized for the x and the y arguments.

Four parameterizations are implemented. Classical: b,c,d,e,f gh: c,d,f,g,h ED50: c,d,f,b,tao(ED50) ED50b: c,d,f,h,tao(ED50). This is called tao-h in Cumberland et al. (2014)

Author(s)

Youyi Fong [e-mail], Xuesong Yu, William N. Cumberland

Examples

FivePL.t(5:6, p.eotaxin[1,])
FivePL.t.func(p.eotaxin[1,])
FivePL.x.inv(c(4,5,11), p.eotaxin[1,])
FivePL.t.inv.func(p.eotaxin[1,])

nCal documentation built on Sept. 13, 2021, 5:08 p.m.