integratepdf.grad: Numerically integrates the non-normalised pdf or the...

In DistanceDevelopment/mrds: Mark-Recapture Distance Sampling

Numerically integrates the non-normalised pdf or the detection function of observed distances over specified ranges.

Description

Gradient of the integral of the detection function, i.e., d beta/d theta in the documentation. This gradient of the integral is the same as the integral of the gradient, thanks to Leibniz integral rule.

Usage

integratepdf.grad(
  par.index,
  ddfobj,
  int.range,
  width,
  standardize = FALSE,
  point = FALSE,
  left = 0,
  pdf.based = TRUE
)

Arguments

par.index	the index of the parameter of interest
ddfobj	the ddf object
int.range	vector with the lower and upper bound of the integration
width	the truncation width
standardize	TRUE if the non-standardised detection function should be integrated. Only implemented for standardize = FALSE, so users should not touch this argument and it can probably be removed.
point	are the data from point transects (TRUE) or line transects (FALSE).
left	the left truncation. Defaults to zero.
pdf.based	evaluate the non-normalised pdf or the detection function? Default is TRUE.

Details

For internal use only – not to be called by mrds or Distance users directly.

Author(s)

Felix Petersma

DistanceDevelopment/mrds documentation built on Jan. 21, 2025, 12:33 a.m.