Package index • epifitter

Curve fitting

fit_lin(): Fit epidemic models using linearization

fit_nlin(): Fit epidemic models using nonlinear regression

fit_nlin2(): Fit epidemic models and estimate the asymptote

fit_multi(): Fit models to multiple disease progress curves

plot_fit(): Plot fitted epidemic models

Methods

print(<fit_lin>): Print fitted model summaries

print(<fit_nlin2>): Print fitted model summaries with asymptote estimates

Disease summaries

AUDPC(): Area under the disease progress curve

AUDPC_2_points(): Estimate AUDPC from two observations

AUDPS(): Area under the disease progress stairs

Simulation

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

Model helpers

expo_fun(): Exponential model differential equation

mono_fun(): Monomolecular model differential equation

logi_fun(): Logistic model differential equation

gompi_fun(): Gompertz model differential equation

Data

PowderyMildew: Powdery mildew disease progress curves in organic tomato