medrm: Mixed effects dose-response curves

In DoseResponse/medrc: Mixed effect dose-response curves

Description

Implements drc nonlinear functions into the nlme framework for mixed effects dose-response modelling.

Usage

medrm(form, curveid = NULL, data, fct, random, correlation = NULL,
  weights = NULL, control = NULL, start = NULL, REML = FALSE)

Arguments

form	Formula describing the dose-response relationship
curveid	Formula with parameter names on the left hand side (divided by +) and a column name in data, denoting a factor, to estimate separate parameters per factor-level. If NULL only fixed effects for a single curve will be estimated.
data	a data.frame object
fct	a function of the drc package
random	a list or one-sided formula describing the random effects
correlation	additional corClasses object
weights	additional varClasses object
control	list with nlme control arguments
start	optional list with initial values for the fixed components. If NULL the initial values will be found automatically.
REML	logical value. If TRUE the model is fit by maximizing the restricted log-likelihood, if FALSE log-likelihood is maximized.

Details

An application of medrm is shown on the help pages of data broccoli. EDx and selectivity indices can be calculated with functions ED and EDcomp. Model-averaged ED can be computed by function mmaED. Marginal EDx and corresponding function are implemented in functions EDmarg, using numerical integration conditional on the etimated variance components.

Value

An object of class medrc

See Also

drm, nlme

DoseResponse/medrc documentation built on May 28, 2019, 12:36 p.m.