Learn R Programming
diveMove (version 1.6.2)

boutsMLEll.chooser: Log likelihood function of parameters given observed data

Description

This function defines a closure, where x will be the object passed to it.

Usage

boutsMLEll.chooser(x, x0, transformed = TRUE)
.bouts2MLEll(x, p, lambda0, lambda1)
.bouts3MLEll(x, p0, p1, lambda0, lambda1, lambda2)

Value

ll.chooser returns the negative log likelihood function of the joint distribution.

numeric vector

numeric vector

Arguments

x

numeric vector of independent data to be described by the function.

x0

numerical one-dimensional vector of coefficients.

transformed

logical indicating whether coefficients need to be transformed back to original scale to compute the negative log likelihood.

p, lambda0, lambda1

numeric: parameters of the model.

p0, p1, lambda2

numeric: parameters of the model.

Functions

  • .bouts2MLEll: Log likelihood function in a 2-process Poisson mixture

  • .bouts3MLEll: Log likelihood function in a 3-process Poisson mixture