ds.function: Distance Sampling Functions

In mrds: Mark-Recapture Distance Sampling

Distance Sampling Functions

Description

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

Details

Placeholder – Not functional —-

Value

List containing

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

Author(s)

Jeff Laake

mrds documentation built on July 9, 2023, 6:06 p.m.