find_best_monitoring: find_best_monitoring
In alfcrisci/rAedesSim: Modeling Aedes Albopictus Mosquito populations by using

Description Usage Arguments Value Author(s)

find_best_monitoring Function to semplify model tuning by using biofitmodel rAedesSim Class.

find_best_monitoring(i_meteo, i_biocontainer, i_monitoring,
  initial_eggs = 100, range_alpha_a = c(0, seq(0, 0.002, 0.001)),
  range_alpha_l = seq(0.6, 1.6, 0.2), range_density_l = 70,
  stocastic = TRUE, n_sampling = 10, inibition = FALSE)

`i_meteo`	object: rAedesSim meteo concerning weather data.
`i_monitoring`	object: rAedesSim `biodata` object concerning mosquito eggs field observations.
`initial_eggs`	numeric: initial values for `biodata` object concerning mosquito eggs field observations.
`range_alpha_a`	numeric: rAedesSim vector of sorted guess' values of female adult competition. Default is obtained by c(0,seq(0,0.002,0.001)).
`range_alpha_l`	numeric: rAedesSim vector of sorted guess' values of larval competition. Default is obtained by seq(0.6,1.6,0.2).
`range_density_l`	numeric: rAedesSim object guess' values of maximaum larval competion in function of waer volume in cointaner. Default is obtained by 70.
`stocastic`	logical: if stocastic simulation by `biomodel` are carried out in simulation.Defalut is True.
`n_sampling`	numeric: number of resampling if stochastic is implemented by `biomodel`. Default is 10.
`inibition`	logical: if larval density is considered. Defalut is FALSE.
`i_biocointaner`	object: rAedesSim object concerning `biocontainer` object used in simulation.