Estimates the marginal benchmark dose, conditional on the estimated variance components.
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, ...)
object | an medrc object |
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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. |