| AUDPC | Area under the disease progress curve |
| AUDPC_2_points | Estimate AUDPC from two observations |
| AUDPS | Area under the disease progress stairs |
| expo_fun | Exponential model differential equation |
| fit_lin | Fit epidemic models using linearization |
| fit_multi | Fit models to multiple disease progress curves |
| fit_nlin | Fit epidemic models using nonlinear regression |
| fit_nlin2 | Fit epidemic models and estimate the asymptote |
| gompi_fun | Gompertz model differential equation |
| logi_fun | Logistic model differential equation |
| mono_fun | Monomolecular model differential equation |
| plot_fit | Plot fitted epidemic models |
| PowderyMildew | Powdery mildew disease progress curves in organic tomato |
| print.fit_lin | Print fitted model summaries |
| print.fit_nlin2 | Print fitted model summaries with asymptote estimates |
| sim_exponential | Simulate an exponential disease progress curve |
| sim_gompertz | Simulate a Gompertz disease progress curve |
| sim_logistic | Simulate a logistic disease progress curve |
| sim_monomolecular | Simulate a monomolecular disease progress curve |