adj.series.grad.herm: Series of the gradient of the Hermite polynomial adjustment...

In mrds: Mark-Recapture Distance Sampling

Series of the gradient of the Hermite polynomial adjustment series w.r.t. the scaled distance.

Description

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

Usage

adj.series.grad.herm(
  distance,
  scaling = 1,
  adj.order,
  adj.parm = NULL,
  adj.exp = FALSE
)

Arguments

distance	perpendicular distance vector/scalar
scaling	scale parameter
adj.order	the adjustment order
adj.parm	vector of parameters (a_j)
adj.exp	boolean, defaults to FALSE

Value

scalar or vector containing the gradient of the Hermite adjustment series for every value in distance argument

Author(s)

Felix Petersma

mrds documentation built on Aug. 8, 2025, 6:39 p.m.