From: Analysis and simulation of plant disease progress curves in R: introducing the epifitter package
Function | Description |
---|---|
fit_lin() | Fits models to single DPC data via linearization |
fit_nlin() | Fits models to single DPC via nonlinear regression |
fit_nlin2() | An extension of fit_nlin() that allows estimating the maximum asymptote K parameter |
fit_multi() | Fits models to multiple DPCs using either linear and nonlinear regression |
plot_fit() | Generates ggplot2 visualization of output of a model fitting object via fit_lin(), fit_nlin(), and fit_nlin2() |
sim_exponential() | Simulates DPC using the exponential model |
sim_monomolecular() | Simulates DPC using the monomolecular model |
sim_logistic() | Simulate DPC using the logistic model |
sim_gompertz() | Simulate DPC using the Gompertz model |
AUDPC() | Calculates the area under the disease progress curves |
AUDPS() | Calculates the area under the disease progress stairs |
PowderyMildew | Dataset containing experimental data of disease progress curves of powdery mildew under different irrigation systems and soil moisture levels in organic tomato (Lage et al. 2019) |