Package: pomp
Type: Package
Title: Statistical Inference for Partially Observed Markov Processes
Version: 4.2
Date: 2022-04-11
Authors@R: c(person(given=c("Aaron","A."),family="King",
		role=c("aut","cre"),email="kingaa@umich.edu"),
	  person(given=c("Edward","L."),family="Ionides",role=c("aut")),
	  person(given=c("Carles"),family="Breto",role=c("aut")),
	  person(given=c("Stephen","P."),family="Ellner",role=c("ctb")),
	  person(given=c("Matthew","J."),family="Ferrari",role=c("ctb")),
	  person(given="Sebastian",family="Funk",role=c("ctb")),
	  person(given=c("Steven","G."),family="Johnson",role=c("ctb")),
	  person(given=c("Bruce","E."),family="Kendall",role=c("ctb")),
	  person(given=c("Michael"),family="Lavine",role=c("ctb")),
	  person(given="Dao",family="Nguyen",role=c("ctb")),
	  person(given=c("Eamon","B."),family="O'Dea",role=c("ctb")),
	  person(given=c("Daniel","C."),family="Reuman",role=c("ctb")),
	  person(given=c("Helen"),family="Wearing",role=c("ctb")),
	  person(given=c("Simon","N."),family="Wood",role=c("ctb"))
	  )
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(>= 4.0.0), methods
Imports: stats, graphics, digest, mvtnorm, deSolve, coda, reshape2,
        magrittr, plyr
Suggests: ggplot2, knitr, tidyr, dplyr, subplex, nloptr
SystemRequirements: For Windows users, Rtools (see
        https://cran.r-project.org/bin/windows/Rtools/).
License: GPL-3
LazyData: true
Contact: kingaa at umich dot edu
BugReports: https://github.com/kingaa/pomp/issues/
Encoding: UTF-8
Collate: 'pstop.R' 'undefined.R' 'package.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' 'templates.R' 'builder.R' 'pomp.R' 'probe.R'
        'abc.R' 'accumulators.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'
        'authors.R' 'bake.R' 'basic_components.R' 'basic_probes.R'
        'betabinom.R' 'blowflies.R' 'bsflu.R' 'bsplines.R'
        'childhood.R' 'coef.R' 'concat.R' 'cond_logLik.R' 'covmat.R'
        'dacca.R' 'design.R' 'distributions.R' 'ebola.R'
        'eff_sample_size.R' 'elementary_algorithms.R' 'emeasure_spec.R'
        'estimation_algorithms.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' 'melt.R' 'obs.R' 'ou2.R' 'parmat.R' 'parus.R' 'pipe.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'
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2022-04-11 15:04:38 UTC; kingaa
Author: Aaron A. King [aut, cre],
  Edward L. Ionides [aut],
  Carles Breto [aut],
  Stephen P. Ellner [ctb],
  Matthew J. Ferrari [ctb],
  Sebastian Funk [ctb],
  Steven G. Johnson [ctb],
  Bruce E. Kendall [ctb],
  Michael Lavine [ctb],
  Dao Nguyen [ctb],
  Eamon B. O'Dea [ctb],
  Daniel C. Reuman [ctb],
  Helen Wearing [ctb],
  Simon N. Wood [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>
Repository: CRAN
Date/Publication: 2022-04-11 22:40:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-17 22:31:23 UTC; windows
Archs: i386, x64
