dexp: Exponential dose-response function

In MBNMAdose: Dose-Response MBNMA Models

Exponential dose-response function

Description

Similar parameterisation to the Emax model but with non-asymptotic maximal effect (Emax). Can fit a 1-parameter (Emax only) or 2-parameter model (includes onset parameter that controls the curvature of the dose-response relationship)

Usage

dexp(emax = "rel", onset = NULL, p.expon = FALSE)

Arguments

emax	Pooling for Emax parameter. Can take "rel", "common", "random" or be assigned a numeric value (see details).
onset	Pooling for onset parameter. Can take "rel", "common", "random" or be assigned a numeric value (see details).
p.expon	A logical object to indicate whether ed50 and hill parameters should be expressed within the dose-response function on an exponential scale

Details

1-parameter model: emax\times{(1-exp(-x))}

2-parameter model: emax\times{(1-exp(onset*-x))}

where emax is the maximum efficacy of an agent and rate is the speed

Dose-response parameter arguments:

Argument	Model specification
"rel"	Implies that relative effects should be pooled for this dose-response parameter separately for each agent in the network.
"common"	Implies that all agents share the same common effect for this dose-response parameter.
"random"	Implies that all agents share a similar (exchangeable) effect for this dose-response parameter. This approach allows for modelling of variability between agents.
numeric()	Assigned a numeric value, indicating that this dose-response parameter should not be estimated from the data but should be assigned the numeric value determined by the user. This can be useful for fixing specific dose-response parameters (e.g. Hill parameters in Emax functions) to a single value.

Value

An object of class("dosefun")

References

\insertAllCited

Examples

# Single parameter exponential function is default
dexp()

# Two parameter exponential function
dexp(onset="rel")

MBNMAdose documentation built on Aug. 8, 2023, 5:11 p.m.