| acgnlsobj | AC GNLS Objective Function |
| acy | Activity Concentration y |
| bmdbounds | BMD Bounds |
| bmdobj | BMD Objective Function |
| cnst | Constant Model - returns zero |
| concRespCore | Concentration Response Core |
| concRespPlot | Concentration Response Plot |
| exp2 | Exponential 2 Model - ps[1]*(exp(x/ps[2]) - 1) |
| exp3 | Exponential 3 Model - ps[1]*(exp((x/ps[2])^ps[3]) - 1) |
| exp4 | Exponential 4 Model- ps[1]*(1-2^(-x/ps[2])) |
| exp5 | Exponential 5 Model - ps[1]*(1-2^(-(x/ps[2])^ps[3])) |
| fitcnst | Constant Model Fit |
| fitexp2 | Exponential 2 Model Fit |
| fitexp3 | Exponential 3 Model Fit |
| fitexp4 | Exponential 4 Model Fit |
| fitexp5 | Exponential 5 Model Fit |
| fitgnls | Gain-Loss Model Fit |
| fithill | Hill Model Fit |
| fitpoly1 | Polynomial 1 (Linear) Model Fit |
| fitpoly2 | Polynomial 2 (Quadratic) Model Fit |
| fitpow | Power Model Fit |
| gnls | Gain-Loss Model - ps[1] * (1/(1 + (ps[2]/x)^ps[3])) * (1/(1 + (x/ps[4])^ps[5])) |
| gnlsderivobj | GNLS Derivative Objective Function |
| hillfn | Hill Model - ps[1]/(1 + (ps[2]/x)^ps[3]) |
| hitcont | Continuous Hitcalls |
| hitcontinner | Continuous Hitcalls Inner |
| hitlogic | Hit Logic (Discrete) |
| hitloginner | Hit Logic Inner (Discrete) |
| loggnls | Log Gain-Loss Model - ps[1] * (1/(1 + 10^((ps[2] - x)*ps[3]))) * (1/(1 + 10^((x - ps[4])*ps[5]))) |
| loghill | Log Hill Model - ps[1]/(1 + 10^(ps[3]*(ps[2]-x))) |
| mc3 | Sample concentration-response data set from invitrodb |
| nestselect | Nest Select |
| poly1 | Polynomial 1 Model - ps[1]*x |
| poly2 | Polynomial 2 Model - ps[1]*(x0 + x0*x0) |
| pow | Power Model - ps[1]*x^ps[2] |
| signatures | Sample concentration-response data set from HTTR |
| tcplfit2_core | Concentration-response curve fitting |
| tcplhit2_core | Hitcalling Function |
| tcplObj | Concentration Response Objective Function |
| toplikelihood | Top Likelihood |