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).
ds.function(
model,
newdata = NULL,
obs = "All",
conditional = FALSE,
pdf = TRUE,
finebr
)
List containing
grid of distance values
average detection fct values at the xgrid values
model object
dataframe at which to compute values; if NULL uses fitting data
1 or 2 for observer 1 or 2, 3 for duplicates, "." for combined and "All" to return all of the values
if FALSE, computes p(x) based on distance detection function and if TRUE based on mr detection function
if FALSE, returns p(x) and if TRUE, returns p(x)*pi(x)/integral p(x)*pi(x)
fine break values over which line is averaged
Jeff Laake
Placeholder -- Not functional ----