toplikelihood {tcplfit2}

Top Likelihood

Description

Probability of top being above cutoff.

Usage

toplikelihood(fname, cutoff, conc, resp, ps, top, mll)

Arguments

fname

Model function name (equal to model name except hill which uses "hillfn")

cutoff

Desired cutoff.

conc

Vector of concentrations.

resp

Vector of responses.

ps

Vector of parameters, must be in order: a, tp, b, ga, p, la, q, er

top

Model top.

mll

Winning model maximum log-likelihood.

Details

Should only be called by hitcontinner. Uses profile likelihood, similar to bmdbounds. Here, the y-scale type parameter is substituted in such a way that the top equals the cutoff. Then the log-likelihood is compared to the maximum log-likelihood using chisq function to retrieve probability.

Value

Probability of top being above cutoff.

Examples

fname = "hillfn"
conc = c(.03,.1,.3,1,3,10,30,100)
resp = c(0,.1,0,.2,.6,.9,1.1,1)
ps = c(1.033239, 2.453014, 1.592714, er = -3.295307)
top = 1.023239
mll = 12.71495
toplikelihood(fname, cutoff = .8, conc, resp, ps, top, mll)
toplikelihood(fname, cutoff = 1, conc, resp, ps, top, mll)
toplikelihood(fname, cutoff = 1.2, conc, resp, ps, top, mll)