BMD | R Documentation |
Calculation of BMD and BMDL for both quantal and continuous dose responses. Six 2- or 3-paramter models ('Hill', 'Weibull', 'Logit', 'Weibull_three', 'Hill_three', 'Logit_three') were employed for quantal dose responses. Three 4-parameter models ('Weibull_four', 'Logit_four', 'Hill_four') were employed for continuous data.
BMD(object, bmr = 0.10, backg = 0, def = 'additional', eq = 'as.is', sigLev = 0.05, ci = 'CI', sav = FALSE)
object |
object of class curveFit. |
bmr |
numeric vector of bench mark response levels for which to calculate benchmark doses (should be between 0 and 1) |
backg |
numeric value specifying the background level (defaults to 0) |
def |
character string specifiying the definition of the benchmark dose to use in the calculations. "excess" and "additional" are for binomial response whereas "relative" and "hybrid" (additive hybrid) are for continuous response. |
eq |
default list of equations. |
sigLev |
the significance level for Dunnett's test. The default is 0.05. |
ci |
types of confidence intervals (CI or PI).CI: non-simultaneous confidence intervals; PI: non-simultaneous prediction intervals. |
sav |
TRUE: save output to a default file; FALSE: output will not be saved; a custom file directory: save output to the custom file directory. |
Selecting the Benchmark Response Level (BMR) (https://www.epa.gov/bmds/ benchmark-dose-bmd-methods#bmr).BMR is usually set as 0.10.
bmds |
values of BMDL, BMD, and BMDU. |
three default equations (Hill, Weibull, and Logit) were used to calculate BMD for quantal dose response. Three default equations('Weibull_four', 'Logit_four', 'Hill_four') were used to calculate BMD for continuous dose response. BMD calculation is only availabale for monotonic dose reponses in this version.
Benchmark Dose Technical Guidance, Risk Assessment Forum, U.S. Environmental Protection Agency,
Washington, DC 20460, EPA/100/R-12/001, June 2012
Kennyp (2002). Critical Issues in Benchmark Calculations from Continuous Data. Crit.
Rev. Toxicol., 32, 133-153.
## example 1 # calcualte the BMD of heavy metal Ni(2+) on the MCF-7 cells x <- cytotox$Ni$x rspn <- cytotox$Ni$y obj <- curveFit(x, rspn, eq = 'Logit', param = c(12, 3), effv = c(0.05, 0.5), rtype = 'quantal') BMD(obj, bmr = 0.10, backg = 0, def = 'additional', eq = 'default', sigLev = 0.05, ci = 'CI')
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