| anova.drc | ANOVA for dose-response model fits |
| AR | Asymptotic regression model |
| backfit | Calculation of backfit values from a fitted dose-response... |
| baro5 | The modified baro5 function |
| BC | The Brain-Cousens hormesis models |
| boxcox.drc | Transform-both-sides Box-Cox transformation |
| braincousens | The Brain-Cousens hormesis models |
| bread.drc | Bread and meat for the sandwich |
| cedergreen | The Cedergreen-Ritz-Streibig model |
| CIcompX | Calculation of combination index for binary mixtures |
| coef.drc | Extract Model Coefficients |
| comped | Comparison of effective dose values |
| compParm | Comparison of parameters |
| confint.drc | Confidence Intervals for model parameters |
| CRS.4a | The Cedergreen-Ritz-Streibig model |
| CRS.5a | Cedergreen-Ritz-Streibig dose-reponse model for describing... |
| drm | Fitting dose-response models |
| drmc | Sets control arguments |
| EDcomp | Comparison of relative potencies between dose-response curves |
| ED.drc | Estimating effective doses |
| EXD | Exponential decay model |
| fitted.drc | Extract fitted values from model |
| fplogistic | Fractional polynomial-logistic dose-response models |
| gammadr | Gamma dose-response model |
| gaussian | Normal and log-normal biphasic dose-response models |
| getInitial | Showing starting values used |
| getMeanFunctions | Display available dose-response models |
| gompertz | Mean function for the Gompertz dose-response or growth curve |
| gompertzd | The derivative of the Gompertz function |
| hatvalues.drc | Model diagnostics for nonlinear dose-response models |
| isobole | Creating isobolograms |
| lin.test | Lack-of-fit test for the mean structure based on cumulated... |
| LL.2 | The two-parameter log-logistic function |
| LL.3 | The three-parameter log-logistic function |
| LL.4 | The four-parameter log-logistic function |
| LL.5 | The five-parameter log-logistic function |
| llogistic | The log-logistic function |
| lnormal | Log-normal dose-response model |
| logistic | The logistic model |
| logLik.drc | Extracting the log likelihood |
| maED | Estimation of ED values using model-averaging |
| MAX | Maximum mean response |
| mixture | Fitting binary mixture models |
| MM | Michaelis-Menten model |
| modelFit | Assessing the model fit |
| mr.test | Mizon-Richard test for dose-response models |
| mselect | Dose-response model selection |
| multi2 | Multistage dose-response model with quadratic terms |
| NEC | Dose-response model for estimation of no effect concentration... |
| neill.test | Neill's lack-of-fit test for dose-response models |
| noEffect | Testing if there is a dose effect at all |
| plot.drc | Plotting fitted dose-response curves |
| PR | Expected or predicted response |
| predict.drc | Prediction |
| print.drc | Printing key features |
| print.summary.drc | Printing summary of non-linear model fits |
| rdrm | Simulating a dose-response curve |
| residuals.drc | Extracting residuals from the fitted dose-response model |
| searchdrc | Searching through a range of initial parameter values to... |
| simDR | Simulating ED values under various scenarios |
| summary.drc | Summarising non-linear model fits |
| twophase | Two-phase dose-response model |
| update.drc | Updating and re-fitting a model |
| ursa | Model function for the universal response surface approach... |
| vcov.drc | Calculating variance-covariance matrix for objects of class... |
| W2 | The two-parameter Weibull functions |
| W3 | The three-parameter Weibull functions |
| W4 | The four-parameter Weibull functions |
| weibull1 | Weibull model functions |
| yieldLoss | Calculating yield loss parameters |
