foieGras (version 0.6-7)

mpmf: fit the move persistence model to regularized location data

Description

generates initial values for model parameters and unobserved gamma's; structures data and initial values for C++ TMB template; fits move persistence model; minimizes the joint log-likelihood via the selected optimizer (nlminb or optim); structures and passes output object to fit_mpm

Usage

mpmf(
  x,
  model = c("mpm", "jmpm"),
  optim = c("nlminb", "optim"),
  verbose = FALSE,
  control = NULL,
  inner.control = NULL
)

Arguments

x

temporally regularized location data, eg. output from fit_ssm

model

specify whether MPM is to be fit with unpooled ("mpm") or pooled ("jmpm") RW variance(s).

optim

numerical optimizer to be used ("nlminb" or "optim")

verbose

report progress during minimization

control

list of control parameters for the outer optimization (type ?nlminb or ?optim for details)

inner.control

list of control settings for the inner optimization (see ?TMB::MakeADFUN for additional details)

Details

called by fit_mpm, not intended for general use. see ?fit_mpm.