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panelpomp's Introduction

panelPomp

an R package for inference on panel partially observed Markov processes

Project Status: Active -- The project has reached a stable, usable state and is being actively developed. CRAN Status Last CRAN release date R-CMD-check binary-build test-coverage codecov

This package allows performing 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 Bretó, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.

The latest version of the package can be installed from this GitHub source using devtools::install_github('cbreto/panelPomp')

Installing the current CRAN version is also possible using install.packages("panelPomp")

Related packages:

panelpomp's People

Contributors

cbreto avatar jeswheel avatar kingaa avatar ionides avatar

Stargazers

 avatar Weizhe Sun avatar  avatar  avatar  avatar  avatar  avatar Jaime Cascante Vega avatar Sean avatar Matteo Chinazzi avatar

Watchers

Matteo Chinazzi avatar  avatar  avatar Bing Zhang avatar  avatar rui zhang avatar  avatar  avatar  avatar

panelpomp's Issues

Example of mif2 with the prw example?

Hi @cbreto! I'm trying to run the panel random walk example, prw, along the lines of the SBIED code here for a different model. I can use pfilter, but I can't get mif2 to work. The following gives an error:

mif2(prw,Nmif=2,Np=200,cooling.fraction.50=0.1,rw.sd=rw.sd(sigmaX=0.1,sigmaY=0.1))
Error: in ‘mif2’: pomp's ‘mif2’ error message: in ‘mif2’: 'arg' must be of length 1 (panelPomp:::mif2.internal)

Any suggestions on how to get this working?

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