was_sim: Runs the WAS simulation.

In federicoandreis/wasim: Toolbox for simulations under Wave Adaptive Sampling

Description

Runs the WAS simulation.

Usage

was_sim(R, S, des, des_pars, pre, pre_pars, tar, tar_pars, B, est_var = FALSE,
  pop)

Arguments

R	The number of runs.
S	The number of steps.
des	A list containing the sampling designs for each step.
des_pars	A list containing the parameters for the sampling designs in des.
pre	A list containing the predictive tools to compare.
pre_pars	A list containing the parameters for the predictive tools in pre.
tar	A list containing the targeting functions for each step/to compare?.
tar_pars	A list containing the parameters for the targeting functions in tar.
B	The number of Bootstrap runs to estimate the inclusion probabilities.
est_var	Should the variance be also estimated via bootstrapped second order inclusion probabilities? Defaults to FALSE.
pop	The population [...].

Value

The simulation.

Examples

set.seed(42)

federicoandreis/wasim documentation built on Jan. 16, 2020, 7:54 p.m.