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