Distance Sampling Functions — ds.function • mrds

Computes values of conditional and unconditional detection functions and probability density functions for for line/point data for single observer or dual observer in any of the 3 configurations (io,trial,rem).

Usage

ds.function(
  model,
  newdata = NULL,
  obs = "All",
  conditional = FALSE,
  pdf = TRUE,
  finebr
)

Arguments

model: model object
newdata: dataframe at which to compute values; if NULL uses fitting data
obs: 1 or 2 for observer 1 or 2, 3 for duplicates, "." for combined and "All" to return all of the values
conditional: if FALSE, computes p(x) based on distance detection function and if TRUE based on mr detection function
pdf: if FALSE, returns p(x) and if TRUE, returns p(x)*pi(x)/integral p(x)*pi(x)
finebr: fine break values over which line is averaged

Value

List containing

xgrid: grid of distance values
values: average detection fct values at the xgrid values

Details

Placeholder – Not functional —-

Author

Jeff Laake