foieGras: fit_mpm – R documentation

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foieGras

fit_mpm

fit a a Move Persistence Model (mpm)

Description

fit a random walk with time-varying move persistence to temporally regular or irregular location data

Usage

fit_mpm(
  x,
  what = "predicted",
  model = c("jmpm", "mpm"),
  coords = 3:4,
  control = mpm_control(),
  inner.control = NULL,
  optim = NULL,
  optMeth = NULL,
  verbose = NULL
)

Arguments

`x`	a `fG_ssm` fit object or a data frame of observations (see details)
`what`	if a `fG_ssm` fit object is supplied then `what` determines whether fitted or predicted (default) values are mapped; ignored if `x` is a data frame
`model`	mpm model to fit; either `mpm` with unpooled random walk variance parameters (`sigma_(g,i)`) or `jmpm` with a single, pooled random variance parameter (`sigma_g`)
`coords`	column numbers of the location coordinates (default = 3:4)
`control`	list of control settings for the outer optimizer (see `mpm_control` for details)
`inner.control`	list of control parameters for the inner optimization
`optim`	use ssm_control(optim = "optim") instead, see `ssm_control` for details
`optMeth`	use ssm_control(method = "L-BFGS-B") instead, see `ssm_control` for details
`verbose`	use ssm_control(verbose = 1) instead, see `ssm_control` for details

Value

a list with components

`fitted`	a dataframe of fitted locations
`par`	model parameter summary
`data`	input dataframe
`tmb`	the tmb object
`opt`	the object returned by the optimizer

Examples

## fit jmpm to two southern elephant seal tracks
xs <- fit_ssm(sese2, spdf=FALSE, model = "rw", time.step=72, 
control = ssm_control(se = FALSE, verbose = 0))

fmpm <- fit_mpm(xs, model = "jmpm")

foieGras

Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Movement Behaviour

v0.7-6

MIT + file LICENSE

Authors

Ian Jonsen [aut, cre, cph], Toby Patterson [aut, ctb]

Initial release

2021-04-26

fit_mpm

Description

Usage

Arguments

Value

Examples

foieGras

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