Estimates the benchmark dose for averaged fixed effects of several medrc or glsdrc objects
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))
object | an medrc object |
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... | 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. |