BMDmarg: Marginal BMD estimation for medrc models

Description Usage Arguments

Description

Estimates the marginal benchmark dose, conditional on the estimated variance components.

Usage

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BMDmarg(object, respLev, interval = c("none", "delta", "fls", "tfls"),
  clevel = NULL, level = ifelse(!(interval == "none"), 0.95, NULL),
  bmd = c("additional", "extra"), background = 0.05, nGQ = 5,
  rfinterval = c(0, 1000), display = TRUE, ...)

Arguments

object

an medrc object

respLev

a numeric vector containing the benchmark response levels

interval

character string specifying the type of confidence intervals to be supplied.

clevel

character string specifying the curve id in case on estimates for a specific curve or compound is requested. By default estimates are shown for all curves.

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

nGQ

integer. Specifies the number nof nodes for Gauss-Hermite quadrature.

rfinterval

numeric vector. Interval for root finding (uniroot) to search for ED values.

display

logical. If TRUE results are displayed; otherwise they are not.

...

additional arguments.


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