Package: mixAR
Type: Package
Title: Mixture Autoregressive Models
Version: 0.22.7
Date: 2022-05-03
Authors@R: c( person(given = c("Georgi", "N."), 
                     family = "Boshnakov", 
                     role = c("aut", "cre"), 
                     email = "georgi.boshnakov@manchester.ac.uk"), 
	      person(given = "Davide", 
	             family = "Ravagli", 
	             role = "aut", email = "davide.ravagli@manchester.ac.uk") )
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Description: Model time series using mixture autoregressive (MAR)
             models.  Implemented are frequentist (EM) and Bayesian
             methods for estimation, prediction and model
             evaluation. See Wong and Li (2002)
             <doi:10.1111/1467-9868.00222>, Boshnakov (2009)
             <doi:10.1016/j.spl.2009.04.009>), and the extensive
             references in the documentation.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 3.5), methods
Imports: stats, graphics, utils, stats4, BB, combinat, timeDate,
        fGarch, Rdpack (>= 0.7), gbutils (>= 0.3-1), MCMCpack, e1071,
        permute, mvtnorm
Suggests: fma, testthat, covr
RdMacros: Rdpack
URL: https://geobosh.github.io/mixAR/ (website),
        https://github.com/GeoBosh/mixAR/ (devel)
BugReports: https://github.com/GeoBosh/mixAR/issues
Collate: raggedCoef.R raggedCoefS.R mixComp.R mixAR.R mixARcalc.R
        mixutil.R dist.R predict.R mix_se.R obs_info_matrix.R
        samp_functions.R bayes_mixAR.R label_switch.R Choose_pk.R
        marg_loglik.R mixSARfit.R mixARreg.R fit_mixARreg.R
        raggedCoefV.R mixVAR.R fit_mixVAR.R cond_loglikV.R mixVAR_sim.R
        tsdiag.R mixAR_diag.R devel.R em0.R emGaussian.R emgen.R
        00marmath.R exmodels.R mixARsim.R
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2022-05-03 10:43:16 UTC; georgi
Author: Georgi N. Boshnakov [aut, cre],
  Davide Ravagli [aut]
Repository: CRAN
Date/Publication: 2022-05-03 13:10:13 UTC
Built: R 4.1.2; ; 2022-05-04 10:50:08 UTC; unix
