mrds: ds.function – R documentation

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ds.function

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

Mark-Recapture Distance Sampling

v2.2.4

GPL (>= 2)

Authors

Jeff Laake <jeff.laake@noaa.gov>, David Borchers <dlb@st-and.ac.uk>, Len Thomas <len.thomas@st-and.ac.uk>, David Miller <dave@ninepointeightone.net> and Jon Bishop

Initial release