pomp: Statistical Inference for Partially Observed Markov Processes

Inference methods for partially observed Markov processes (AKA stochastic dynamical systems, state-space models).

Version: 0.65-1
Depends: R (≥ 3.0.0), methods
Imports: stats, graphics, mvtnorm, deSolve, coda, subplex, nloptr
Published: 2015-06-01
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb]
Maintainer: Aaron A. King <kingaa at umich.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://pomp.r-forge.r-project.org
NeedsCompilation: yes
Citation: pomp citation info
Materials: NEWS
In views: DifferentialEquations, TimeSeries
CRAN checks: pomp results

Downloads:

Reference manual: pomp.pdf
Package source: pomp_0.65-1.tar.gz
Windows binaries: r-devel: pomp_0.65-1.zip, r-release: pomp_0.65-1.zip, r-oldrel: pomp_0.65-1.zip
OS X Snow Leopard binaries: r-oldrel: pomp_0.53-5.tgz
OS X Mavericks binaries: r-release: pomp_0.65-1.tgz
Old sources: pomp archive

Reverse dependencies:

Reverse suggests: CollocInfer