The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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-coveragecodecov

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('panelPomp-org/panelPomp')

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

Related packages:

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.