mmaED: ED estimation for averaged medrc and glsdrc models

In daniel-gerhard/medrc: Mixed effect dose-response curves

Description

Estimates ED for averaged fixed effects of several medrc or glsdrc objects

Usage

mmaED(object, ..., respLev, ic = c("AIC", "BIC"), interval = c("none", "buckland", "kang"), 
     level = 0.95, marginal=FALSE, nGQ=5, rfinterval=c(0, 1000))

Arguments

object	an medrc object
...	further medrc objects
respLev	a numeric vector containing the response levels
ic	the information criterion used for model averaging
interval	character string specifying the type of confidence intervals to be supplied.
level	confidence level, default at 0.95
marginal	logical. If TRUE, marginalized ED estimates are obtained. See EDmarg for further information.
nGQ	integer. Specifies the number nof nodes for Gauss-Hermite quadrature.
rfinterval	numeric vector. Interval for root finding (uniroot) to search for ED values. Default is [0, 1000].

Author(s)

Christian Ritz, Daniel Gerhard

daniel-gerhard/medrc documentation built on May 14, 2019, 3:38 p.m.