bmdobj: BMD Objective Function
In tcplfit2: A Concentration-Response Modeling Utility

bmdobj

R Documentation

BMD Objective Function

Utility function for bmdbounds

bmdobj(
  bmd,
  fname,
  bmr,
  conc,
  resp,
  ps,
  mll,
  onesp,
  partype = 2,
  poly2.biphasic = TRUE,
  x_v
)

`bmd`	Benchmark dose.
`fname`	Function name: "exp2", "exp3", "exp4", "exp5", "hillfn", "gnls", "poly1", "poly2", or "pow".
`bmr`	Benchmark response.
`conc`	Vector of concentrations NOT in log units.
`resp`	Vector of corresponding responses.
`ps`	Named list of parameters.
`mll`	Maximum log-likelihood of winning model.
`onesp`	One-sided p-value.
`partype`	Number for parameter type. Type 1 is y-scaling: a or tp. Type 2 is x-scaling: b or ga, when available, a otherwise. Type 3 is power scaling: p when available, then b or ga, then a if no others. Since bmd is linked to the x-scale, type 2 should always be used. Other types can also be vulnerable to underflow/overflow.
`poly2.biphasic`	If poly2.biphasic = TRUE, constraints are set to allow for the polynomial 2 model fit to be bi-phasic (i.e. non-monotonic).
`x_v`	The vertex of the quadratic/parabolic fit. Only in use when estimating the BMDL and BMDU values for the "poly2" model when poly2.biphasic = TRUE. No default is set.