Package: mixAR Type: Package Title: Mixture Autoregressive Models Version: 0.22.8.9000 Authors@R: c( person(given = c("Georgi", "N."), family = "Boshnakov", role = c("aut", "cre"), email = "georgi.boshnakov@manchester.ac.uk", comment = c(ORCID = "0000-0003-2839-346X")), person(given = "Davide", family = "Ravagli", role = "aut", email = "davide.ravagli@manchester.ac.uk", comment = c(ORCID = "0000-0001-7146-7685")) ) 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) , Boshnakov (2009) ), 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/ (doc), https://CRAN.R-project.org/package=mixAR/ 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 Repository: https://geobosh.r-universe.dev Date/Publication: 2025-12-08 17:35:24 UTC RemoteUrl: https://github.com/geobosh/mixar RemoteRef: HEAD RemoteSha: a9f5cbeff175f6bbdd6410fabf4c548c4c2690cd NeedsCompilation: no Packaged: 2026-06-06 06:11:36 UTC; root Author: Georgi N. Boshnakov [aut, cre] (ORCID: ), Davide Ravagli [aut] (ORCID: ) Maintainer: Georgi N. Boshnakov