est_parameters: linear model of kernel density estimate

In SaskiaSchirmer/CONSURE: Estimating Spatially Continuous Survival, Migratory Connectivity and Recovery Probability

linear model of kernel density estimate

Description

This function estimates the uncertainty of the parameters survival, migratory connectivity and recovery probability by bootstrapping the marking data.

Usage

est_parameters(
  mark_recapture_object,
  res = NULL,
  parameters = c("s", "m", "r")
)

Arguments

mark_recapture_object	object of class mark_recapture_object (see mark_recapture_object())
res	spatial resolution. Defaults to NULL. In this case, the spatial resolution stored in the mark_recapture_object is used.
parameters	vector of characters specifying the parameter names considered for uncertainty estimation, possible values are s for survival, m for migratory connectivity and r for recovery probability. Defaults to c("s","m","r").

Value

mark_recapture_object with estimates of all selected parameters

Examples

mro <- est_parameters(mro1D)

SaskiaSchirmer/CONSURE documentation built on Sept. 3, 2023, 8:52 a.m.