Analysis and Simulation of Plant Disease Progress Curves

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Documentation for package ‘epifitter’ version 0.3.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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