mmaBMD: BMD estimation for averaged medrc or glsdrc models

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

Description

Estimates the benchmark dose for averaged fixed effects of several medrc or glsdrc objects

Usage

mmaBMD(object, ..., respLev, ic = c("AIC", "BIC"), interval = c("none", "buckland", "kang"), 
     level = 0.95, bmd = c("additional", "extra"), 
     background = 0.05, marginal=FALSE, nGQ=5, rfinterval=c(0, 1000))

Arguments

object	an medrc object
...	further medrc objects
respLev	a numeric vector containing the benchmark 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
bmd	benchmark dose estimation (smallest dose resulting in a probability of an abnormal response)
background	probability of an abnormal response
marginal	logical. If TRUE, marginalized BMD estimates are obtained. See BMDmarg 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.