CRAN/E | panelPomp

panelPomp

Inference for Panel Partially Observed Markov Processes

Installation

About

Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" doi:10.1080/01621459.2019.1604367.

Citation panelPomp citation info

Key Metrics

Version 1.1
R ≥ 4.1.0
Published 2023-03-29 560 days ago
Needs compilation? no
License GPL-3
CRAN checks panelPomp results

Downloads

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Maintainer

Maintainer

Carles Breto

Authors

Carles Breto

aut / cre

Edward L. Ionides

aut

Aaron A. King

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 4.1.0
pomp ≥ 4.5.2

Imports

methods