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#' Simulate power densities
#'
#' @description A function that takes the target densities and their priorities
#' and returns a power density image over a range of parameters
#'
#' @param target_dens list of target densities. This should always be a list, even if there is only one target density.
#' @param dens_manip a target density for which we manipulate the value of priorities
#' @param priorities numeric. `priorities` specifies the priority for the target density that we do not manipulate.
#' @param priorities_manip vector of priorities for the density that we manipulate.
#' @param window owin object
#'
#' @returns list of densities and priorities
sim_power_dens <- function(target_dens, #This must be a list element
dens_manip,
priorities,
priorities_manip,
window) {
# Obtaining each target density ^ alpha
target_alpha <- lapply(1:length(target_dens), function(x) target_dens[[x]] ^ priorities[x])
power_density <- target_alpha[[1]]
if (length(target_dens) > 1){
for (ii in 2:length(target_dens)){ power_density <- power_density * target_alpha[[ii]] }
}
power_density_list <- list()
for (jj in 1:length(priorities_manip)){
temp <- power_density * dens_manip ^ priorities_manip[jj]
temp <- temp/spatstat.univar::integral(temp, domain = window)
power_density_list[[jj]] <- temp
}
power_density_list <- lapply(1:length(priorities_manip),
function(x) {
temp <- power_density * dens_manip ^ priorities_manip[x]
temp <- temp/spatstat.univar::integral(temp, domain = window)
return(temp)
}
)
plist <- list(power_density_list = power_density_list,
priorities_manip = priorities_manip)
class(plist) <- c("powerlist", "list")
return(plist)
}
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