Learn R Programming

spatPomp (version 1.1.0)

Inference for Spatiotemporal Partially Observed Markov Processes

Description

Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. The 'spatPomp' package extends 'pomp' to include algorithms taking advantage of the spatial structure in order to assist with handling high dimensional processes. See Asfaw et al. (2024) for further description of the package.

Copy Link

Version

Install

install.packages('spatPomp')

Monthly Downloads

507

Version

1.1.0

License

GPL-3

Issues

0

Pull Requests

0

Stars

2

Forks

2

Maintainer

Edward Ionides

Last Published

September 3rd, 2025

Functions in spatPomp (1.1.0)

iubf

Iterated Unadapted Bagged Filter (IUBF)
measles

Measles in UK spatPomp generator
ibpf

Iterated block particle filter (IBPF)
ienkf

Iterated ensemble Kalman filter (IEnKF)
logLik

Log likelihood extractor
he10mle

Measles in the United Kingdom: MLE from He et al (2010)
lorenz

Lorenz '96 spatPomp constructor
igirf

Iterated guided intermediate resampling filter (IGIRF)
listie

listie: List-like objects
he10measles

Measles in the United Kingdom
print

Print methods
spatPomp-class

An S4 class to represent a spatiotemporal POMP model and data.
runit_measure

Random draw from the measurement model for one unit
munit_measure

Matching moments for the unit measurement model
expand_params

Book-keeping functions for working with expanded parameters
plot

Plot methods for spatPomp objects
measles2

Measles in UK: spatPomp generator with shared or unit-specific parameters
measlesUK

Measles in the United Kingdom
simulate

Simulation of a spatiotemporal partially-observed Markov process
pStop

pStop
undefined

Undefined
vec_dmeasure

Vector of unit measurement densities for each unit
spatPomp

Constructor of the spatPomp object
spatPomp_Csnippet

C snippets
unit_names

Unit names of a spatiotemporal model
vec_rmeasure

Vector simulating measurements for each unit using runit_measure
vunit_measure

Conditional variance of the measurement on a single unit
spatPomp-package

Inference for SpatPOMPs (Spatiotemporal Partially Observed Markov Processes)
bm_kalman_logLik

Exact log-likelihood for Brownian motion spatPomp generator
bpfilter

Block particle filter (BPF)
bm

Brownian motion spatPomp simulator
city_data_UK

City data in the United Kingdom
bm2_kalman_logLik

Exact log-likelihood for Brownian motion spatPomp generator with shared or unit-specific parameters
as.data.frame

Coerce to data frame
arma_benchmark

Calculated log-ARMA log-likelihood benchmark for spatPomp models
abfir

Adapted Bagged Filter with Intermediate Resampling (ABF-IR)
bm2

Brownian motion spatPomp generator with shared or unit-specific parameters
abf

Adapted Bagged Filter (ABF)
dunit_measure

dunit_measure dunit_measure evaluates the unit measurement density of a unit's observation given the entire state
he10demography

Demographic data for 20 towns in the United Kingdom
he10coordinates

City data in the United Kingdom
concat

Concatenate
conc

Concatenate spatPomp objects into a listie
he10

Measles in UK: spatPomp generator with shared or unit-specific parameters
girf

Guided intermediate resampling filter (GIRF)
gbm

Geometric Brownian motion spatPomp simulator
enkf

Generalized Ensemble Kalman filter (EnKF)
eunit_measure

Expectation of the measurement model for one unit