bmdobj: BMD Objective Function

View source: R/bmdobj.R

bmdobjR Documentation

BMD Objective Function

Description

Utility function for bmdbounds

Usage

bmdobj(bmd, fname, bmr, conc, resp, ps, mll, onesp, partype = 2)

Arguments

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.

Value

Objective function value to find the zero of.


tcplfit2 documentation built on Oct. 11, 2023, 1:07 a.m.