survey_sim: Simulate one or more survey design

In ku-awdc/eggSim: Simulating Datasets Representing Egg Reduction Rate Data

Simulate one or more survey design

Description

Simulate one or more survey design

Usage

survey_sim(
  design = c("NS_11", "SS_11", "SSR_11"),
  parasite = "hookworm",
  method = "kk",
  n_individ = seq(100, 1000, by = 10),
  scenario = survey_scenario(parasite),
  parameters = survey_parameters(design, parasite, method),
  iterations = 1000,
  cl = NULL,
  output = "summarised",
  analysis = "mean",
  check_memory = TRUE
)

Arguments

design	survey design(s) to use. Ignored if parameters and scenario are specified.
parasite	parasite(s) to use. Ignored if parameters and scenario are specified.
method	method(s) to use. Ignored if parameters and scenario are specified.
n_individ	number of individuals (can be a vector)
scenario	a data frame of scenarios (see survey_scenario)
parameters	a list of parameter sets (see survey_parameters)
iterations	number of iterations per simulation
cl	option to specify either a number of cores or an existing cluster for parallel computation (passed to pblapply)
output	type of output: one of summarised, full or extended
analysis	type of ERR/FECRT analysis: one of mean or delta
check_memory	should the expected memory allocation be checked before proceeding? Does not apply to output type summarised.

Examples

results <- survey_sim(design="NS_11", n_individ = c(100,200,300,400,500))

ku-awdc/eggSim documentation built on Feb. 23, 2024, 10:22 p.m.