Analysis and Simulation of Plant Disease Progress Curves


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Documentation for package ‘epifitter’ version 0.3.0

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AUDPC Area under disease progress curve
AUDPS Area under disease progress stairs
expo_fun Function for Exponential model
fit_lin Fits epidemic models using data linearization
fit_multi Estimate model parameters for multiple disease progress curves
fit_nlin Fits epidemic models using nonlinear aproach
fit_nlin2 Fits epidemic models using nonlinear aproach. This function also estimates the maximum disease intensity parameter K
gompi_fun Function for Gompertz model
logi_fun Function for logistic model
mono_fun Function for Monomolecular model
plot_fit Creates a plot panel for the fitted models
PowderyMildew Dataset powdery mildew disease progress curves
print.fit_lin Print 'fit_lin()' or 'fit_nlin()' outputs
print.fit_nlin2 Print 'fit_nlin2()' outputs
sim_exponential Simulate an epidemic using the Exponential model
sim_gompertz Simulate an epidemic using the Gompertz model
sim_logistic Simulate an epidemic using the logistic model
sim_monomolecular Simulate an epidemic using the Monomolecular model