hitcontinner: Continuous Hitcalls Inner

In tcplfit2: A Concentration-Response Modeling Utility

Continuous Hitcalls Inner

Description

Calculates continuous hitcall using 3 statistical metrics.

Usage

hitcontinner(
  conc,
  resp,
  top,
  cutoff,
  er,
  ps,
  fit_method,
  caikwt,
  mll,
  errfun = "dt4"
)

Arguments

conc	Vector of concentrations.
resp	Vector of responses.
top	Model top.
cutoff	Desired cutoff.
er	Model error parameter.
ps	Vector of used model parameters in order: a, tp, b, ga, p, la, q, er.
fit_method	Name of winning fit method (should never be constant).
caikwt	Akaike weight of constant model relative to winning model.
mll	Maximum log-likelihood of winning model.
errfun	Which error distribution to assume for each point, defaults to "dt4". "dt4" is the original 4 degrees of freedom t-distribution. Another supported distribution is "dnorm", the normal distribution.

Details

This function is called either directly from concRespCore or via hitcont. Details of how to compute function input are in concRespCore.

Value

Continuous hitcall between 0 and 1.

Examples

conc = c(.03,.1,.3,1,3,10,30,100)
resp = c(0,.1,0,.2,.6,.9,1.1,1)
top = 1.023239
er = -3.295307
ps = c(1.033239, 2.453014, 1.592714, er = -3.295307) #tp,ga,p,er
fit_method = "hill"
caikwt = 1.446966e-08
mll = 12.71495
hitcontinner(conc,resp,top,cutoff = 0.8, er,ps,fit_method, caikwt, mll)
hitcontinner(conc,resp,top,cutoff = 1, er,ps,fit_method, caikwt, mll)
hitcontinner(conc,resp,top,cutoff = 1.2, er,ps,fit_method, caikwt, mll)

tcplfit2 documentation built on Sept. 24, 2024, 1:07 a.m.