updateState: Update state sequence

In dylanirion/MSctmm: Multi State Continous-Time Movement Modeling

Update state sequence

Description

Update state sequence

Usage

updateState(
  obs,
  nbStates,
  knownStates,
  switch,
  updateLim,
  param,
  mu,
  Hmat,
  updateProbs = NULL,
  Q = NULL,
  rateparam = NULL,
  kappa = NULL,
  model = NULL
)

Arguments

obs	Matrix of observations, with columns x, y, time, and state
knownStates	Vector of known, fixed states
switch	Matrix of state switches, with columns time and state
updateLim	Vector of two elements: min and max length of updated interval (each an integer, corresponding to a number of observations)
updateProbs	Vector of probabilities of picking each number from updateLim1 to updateLim2, for the length of the update interval
kappa	Upper bounds of transition rate

Details

The update is done with the function sample_path from the package ECctmc (Fintzi, 2017).

Value

List of two elements:

• newSwitch: Updated matrix of transitions

• newData: Updated matrix of all data (observations and transitions)

References

Jon Fintzi (2017). ECctmc: Simulation from Endpoint-Conditioned Continuous Time Markov Chains. R package version 0.2.4. https://CRAN.R-project.org/package=ECctmc

dylanirion/MSctmm documentation built on Sept. 27, 2024, 3:41 a.m.