Package 'mosqcontrol'

Title: Mosquito Control Resource Optimization
Description: This project aims to make an accessible model for mosquito control resource optimization. The model uses data provided by users to estimate the mosquito populations in the sampling area for the sampling time period, and the optimal time to apply a treatment or multiple treatments.
Authors: Jeff Demers [aut], Anshuman Swain [aut], Travis Byrum [aut, cre], Sharon Bewick [aut], William Fagan [aut]
Maintainer: Travis Byrum <[email protected]>
License: MIT + file LICENSE
Version: 0.1.0
Built: 2024-11-28 06:46:00 UTC
Source: CRAN

Help Index


Optimal Control

Description

Creates optimal schedule of pulses for mosquito control.

Usage

control(
  counts,
  time,
  mu = 1/14,
  m = 3,
  n_lam = 25,
  kmax = 20,
  global_opt = 0,
  n_pulse = 4,
  rho = 0.3,
  days_between = 3,
  max_eval = 10000
)

Arguments

counts

Numeric vector of population counts.

time

Numeric vector with corresponding day of year measurments. Example: Jan 1st = day 1. Must be same length as counts.

mu

Numeric indicating natural population death rate.

m

Numeric indicating number of lifetimes for population decay between seasons

n_lam

Numeric max fourier mode order to calculate.

kmax

Numeric max number of dynamics fourier modes to use in calculating fourier sum (different than N_lam = max emergence fourier mode set by user for curve fitting portion of the code. Kmax should be an integer between 2 and 200, default at 20.

global_opt

Numeric set to 0 if user chooses local optimum, 1 if user chooses golbal GN_DIRECT_L_RAND method, 2 if user chooses global GN_ISRES method.

n_pulse

Numeric number of pulses, set by user, integer between 1 and 10.

rho

Numeric percent knockdown (user set between .01 and .30, e.g. 1% to 30% knockdown).

days_between

Numeric minimum number of days allowed between pulses set by user (integer bewtween 0 and 30 days).

max_eval

Numeric maximum evaluations for optimization step.

Value

Control list of control parameters.

Examples

y_in <- c(15, 40, 45, 88, 99, 145, 111, 132, 177, 97, 94, 145, 123, 111,
125, 115, 155, 160, 143, 132, 126, 125, 105, 98, 87, 54, 55, 8
)
t_in_user <- c(93, 100, 107, 114, 121, 128, 135, 142, 149, 163, 170, 177,
184, 191, 198, 205, 212, 219, 226, 233, 240, 247, 254, 261,
267, 274, 281, 288
)
control(y_in, t_in_user, global_opt = -1)

mosqcontrol: Mosquito Control Resource Optimization

Description

This project aims to make an accessible model for mosquito control resource optimization. The model uses data provided by users to estimate the mosquito populations in the sampling area for the sampling time period, and the optimal time to apply a treatment or multiple treatments.

Author(s)

Maintainer: Travis Byrum [email protected]

Authors:


uperm

Description

uperm returns permutation matrix.

Usage

uperm(d)

Arguments

d

Vector

Details

For a given list of numbers, this function outputs a matrix, where each row is a unique permutation of the list.

Examples

uperm(c(1, 2))