Package: fHMM Type: Package Title: Fitting Hidden Markov Models to Financial Data Version: 1.4.3 Authors@R: c( person(given = "Lennart", family = "Oelschl\U00E4ger", role = c("aut", "cre"), email = "oelschlaeger.lennart@gmail.com", comment = c(ORCID = "0000-0001-5421-9313")), person(given = "Timo", family = "Adam", role = "aut", email = "timo.adam@uni-bielefeld.de", comment = c(ORCID = "0000-0001-9079-3259")), person(given = "Rouven", family = "Michels", role = "aut", email = "rouven.michels@tu-dortmund.de", comment = c(ORCID = "0000-0002-5433-6197"))) Description: Fitting (hierarchical) hidden Markov models to financial data via maximum likelihood estimation. See Oelschläger, L. and Adam, T. "Detecting Bearish and Bullish Markets in Financial Time Series Using Hierarchical Hidden Markov Models" (2021, Statistical Modelling) for a reference on the method. A user guide is provided by the accompanying software paper "fHMM: Hidden Markov Models for Financial Time Series in R", Oelschläger, L., Adam, T., and Michels, R. (2024, Journal of Statistical Software) . Language: en-US URL: https://loelschlaeger.de/fHMM/ BugReports: https://github.com/loelschlaeger/fHMM/issues License: GPL-3 Encoding: UTF-8 Depends: R (>= 4.0.0) Imports: checkmate, cli, curl, foreach, graphics, grDevices, httr, jsonlite, MASS, oeli (>= 0.7.6), padr, pracma, progress, Rcpp, stats, utils LinkingTo: Rcpp, RcppArmadillo Suggests: covr, devtools, doSNOW, knitr, parallel, rmarkdown, testthat (>= 3.0.0), tseries RoxygenNote: 7.3.3 VignetteBuilder: knitr Config/testthat/edition: 3 LazyData: true LazyDataCompression: xz NeedsCompilation: yes Packaged: 2026-10-18 09:18:03 UTC; root Author: Lennart Oelschläger [aut, cre] (ORCID: ), Timo Adam [aut] (ORCID: ), Rouven Michels [aut] (ORCID: ) Maintainer: Lennart Oelschläger Repository: https://cran.r-universe.dev Date/Publication: 2026-05-05 16:58:48 UTC RemoteUrl: https://github.com/cran/fHMM RemoteRef: HEAD RemoteSha: 6eb184f98e3416590e508c838eaecc6bfcd4f1a8