fitcnst: Constant Model Fit

In tcplfit2: A Concentration-Response Modeling Utility

Constant Model Fit

Description

Function that fits a constant line f(x) = 0 and returns generic model outputs.

Usage

fitcnst(conc, resp, nofit = FALSE, errfun = "dt4", ...)

Arguments

conc	Vector of concentration values NOT in log units.
resp	Vector of corresponding responses.
nofit	If nofit = TRUE, returns formatted output filled with missing values.
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.
...	Space for parameters so fitcnst can be called similar to other fitting functions (currently unused)

Details

success = 1 for a successful fit, 0 if optimization failed, and NA if nofit = TRUE. aic, rme, and er are set to NA in case of nofit or failure. pars always equals "er".

Value

List of five elements: success, aic (Akaike Information Criteria), rme (root mean square error), er (error parameter), pars (parameter names).

Examples

fitcnst(c(.1,1,10,100), c(1,2,0,-1))
fitcnst(c(.1,1,10,100), c(1,2,0,-1), nofit = TRUE)

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