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 |