prob_infect: Probability of Infection function

In drunita/mr-model: Risk prediction model Mr

Description

This function estimates the probability of a new infection to develop for each simulation day.

Usage

prob_infect(cultivar, Temp, WH, plot_data, modeling_days, control_days)

Arguments

cultivar	character specified by the user in the crop characteristic dataframe
Temp	number given by daily_weather function
plot_data	data.frame("Days"=,"Healthy"=,"Mature"=,"Latent"=,"Sporulated"=, "Harvest"=,"Latent_removed"=, "Sporulated_removed"=, "Risk_factor"=)
modeling_days	increasing number
control_days	list with a vector and a number given by Estimating_control_action_days function
Hum	number given by daily_weather function

Value

the probability of a new infection the simulated day

drunita/mr-model documentation built on Dec. 20, 2021, 1:20 a.m.