R: Analysis and Simulation of Plant Disease Progress Curves

# Analysis and Simulation of Plant Disease Progress Curves

## Documentation for package ‘epifitter’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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