cdf.ds: Cumulative distribution function (cdf) for fitted distance...

In mrds: Mark-Recapture Distance Sampling

Cumulative distribution function (cdf) for fitted distance sampling detection function

Description

Computes cdf values of observed distances from fitted distribution. For a set of observed x it returns the integral of f(x) for the range= (inner, x), where inner is the innermost distance which is observable (either 0 or left if left truncated). In terms of g(x) this is the integral of g(x) over range divided by the integral of g(x) over the entire range of the data (inner, W).

Usage

cdf.ds(model, newdata = NULL)

Arguments

model	fitted distance sampling model
newdata	new data values if computed for values other than the original observations

Value

vector of cdf values for each observation

Note

This is an internal function that is not intended to be invoked directly. It is called by qqplot.ddf to compute values for Kolmogorov-Smirnov and Cramer-von Mises tests and the Q-Q plot.

Author(s)

Jeff Laake

See Also

qqplot.ddf

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