Concentration-Response Modeling of HTS or Transcriptomics Data


[Up] [Top]

Documentation for package ‘tcplfit2’ version 0.1.3

Help Pages

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