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README.md
In panelPomp: Inference for Panel Partially Observed Markov Processes
panelPomp
an R package for inference on panel partially observed Markov processes
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:
Try the panelPomp package in your browser
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panelPomp documentation built on April 11, 2025, 6:18 p.m.
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panelPomp
an R package for inference on panel partially observed Markov processes
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:
Try the panelPomp package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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