DESCRIPTION

Package: pomp
Type: Package
Title: Statistical Inference for Partially Observed Markov Processes
Version: 6.0.3.0
Date: 2024-12-19
Authors@R: c(person(given=c("Aaron","A."),family="King",role=c("aut","cre"),email="kingaa@umich.edu",comment=c(ORCID="0000-0001-6159-3207")),
	  person(given=c("Edward","L."),family="Ionides",role="aut",comment=c(ORCID="0000-0002-4190-0174"))	,
	  person(given="Carles",family="Bretó",role="aut",comment=c(ORCID="0000-0003-4695-4902")),
	  person(given=c("Stephen","P."),family="Ellner",role="ctb",comment=c(ORCID="0000-0002-8351-9734")),
	  person(given=c("Matthew","J."),family="Ferrari",role="ctb",comment=c(ORCID="0000-0001-5251-8168")),
	  person(given="Sebastian",family="Funk",role="ctb",comment=c(ORCID="0000-0002-2842-3406")),
	  person(given=c("Steven","G."),family="Johnson",role="ctb"),
	  person(given=c("Bruce","E."),family="Kendall",role="ctb",comment=c(ORCID="0000-0003-1782-8106")),
	  person(given=c("Michael"),family="Lavine",role="ctb"),
	  person(given="Dao",family="Nguyen",role="ctb",comment=c(ORCID="0000-0003-2215-613X")),
	  person(given=c("Eamon","B."),family="O'Dea",role="ctb",comment=c(ORCID="0000-0003-4748-683X")),
	  person(given=c("Daniel","C."),family="Reuman",role="ctb"),
	  person(given=c("Helen"),family="Wearing",role="ctb",comment=c(ORCID="0000-0002-9837-9797")),
	  person(given=c("Simon","N."),family="Wood",role="ctb",comment=c(ORCID="0000-0002-2034-7453"))
	  )
URL: https://kingaa.github.io/pomp/
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models).  The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods.  It is also a versatile platform for implementation of inference methods for general POMP models.
Depends: R(>= 4.1.0)
Imports: methods, stats, graphics, digest, mvtnorm, deSolve, coda, data.table
Suggests: ggplot2, knitr, dplyr, tidyr, subplex, nloptr
SystemRequirements: For Windows users, Rtools (see https://cran.r-project.org/bin/windows/Rtools/).
License: GPL-3
LazyData: true
BugReports: https://github.com/kingaa/pomp/issues/
Encoding: UTF-8
Roxygen: list(roclets = c("collate", "namespace", "rd"))
RoxygenNote: 7.3.2
Collate: 
    'package.R'
    'pstop.R'
    'undefined.R'
    'csnippet.R'
    'pomp_fun.R'
    'parameter_trans.R'
    'covariate_table.R'
    'skeleton_spec.R'
    'rprocess_spec.R'
    'safecall.R'
    'pomp_class.R'
    'load.R'
    'workhorses.R'
    'continue.R'
    'summary.R'
    'prior_spec.R'
    'dmeasure_spec.R'
    'dprocess_spec.R'
    'rmeasure_spec.R'
    'rinit_spec.R'
    'dinit_spec.R'
    'templates.R'
    'builder.R'
    'pomp.R'
    'probe.R'
    'abc.R'
    'accumulators.R'
    'melt.R'
    'kalman.R'
    'pfilter.R'
    'wpfilter.R'
    'proposals.R'
    'pmcmc.R'
    'mif2.R'
    'listie.R'
    'simulate.R'
    'spect.R'
    'plot.R'
    'bsmc2.R'
    'as_data_frame.R'
    'as_pomp.R'
    'bake.R'
    'basic_components.R'
    'basic_probes.R'
    'betabinom.R'
    'blowflies.R'
    'bsflu.R'
    'bsplines.R'
    'childhood.R'
    'coef.R'
    'conc.R'
    'concat.R'
    'cond_logLik.R'
    'covmat.R'
    'dacca.R'
    'design.R'
    'ebola.R'
    'eff_sample_size.R'
    'elementary_algorithms.R'
    'emeasure_spec.R'
    'estimation_algorithms.R'
    'eulermultinom.R'
    'extract.R'
    'filter_mean.R'
    'filter_traj.R'
    'flow.R'
    'forecast.R'
    'gompertz.R'
    'kf.R'
    'probe_match.R'
    'spect_match.R'
    'nlf.R'
    'trajectory.R'
    'traj_match.R'
    'objfun.R'
    'loglik.R'
    'logmeanexp.R'
    'lookup.R'
    'mcap.R'
    'obs.R'
    'ou2.R'
    'parmat.R'
    'parus.R'
    'pomp_examp.R'
    'pred_mean.R'
    'pred_var.R'
    'show.R'
    'print.R'
    'profile_design.R'
    'resample.R'
    'ricker.R'
    'runif_design.R'
    'rw2.R'
    'sannbox.R'
    'saved_states.R'
    'sir.R'
    'slice_design.R'
    'sobol_design.R'
    'spy.R'
    'states.R'
    'time.R'
    'timezero.R'
    'traces.R'
    'transformations.R'
    'userdata.R'
    'verhulst.R'
    'vmeasure_spec.R'
    'window.R'
    'wquant.R'