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 |
|---|---|
| ... | 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. |