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.
integratepdf.grad(
par.index,
ddfobj,
int.range,
width,
standardize = FALSE,
point = FALSE,
left = 0,
pdf.based = TRUE
)the index of the parameter of interest
the ddf object
vector with the lower and upper bound of the integration
the truncation width
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.
are the data from point transects (TRUE) or line transects (FALSE).
the left truncation. Defaults to zero.
evaluate the non-normalised pdf or the detection function? Default is TRUE.
Felix Petersma
For internal use only -- not to be called by mrds or Distance
users directly.