Pomp
R package for statistical inference using partially observed Markov processes
Install / Use
/learn @kingaa/PompAbout this skill
Quality Score
0/100
Category
Development & EngineeringSupported Platforms
Universal
Tags
abcb-splinedifferential-equationsdynamical-systemsiterated-filteringlikelihoodlikelihood-freemarkov-chain-monte-carlomarkov-modelmathematical-modellingmeasurement-errorparticle-filterrsequential-monte-carlosimulation-based-inferencesobol-sequencestate-spacestatistical-inferencestochastic-processestime-series
README
pomp
an R package for statistical inference on partially observed Markov processes
For installation instructions and user guides, see the package website.
Related packages:
- PartiallyObservedMarkovProcesses.jl: Experimental port of pomp to Julia
- phylopomp: pomp for phylodynamics
- panelPomp: pomp for panel data
- spatPomp: Spatiotemporal dynamics
- circumstance: Experimental parallelization tools
- subplex: The subplex optimization algorithm
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