Package: fDMA Type: Package Title: Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes Version: 2.2.9 Imports: doParallel, forecast, foreach, gplots, graphics, grDevices, iterators, itertools, parallel, psych, png, Rcpp, stats, tseries, utils, xts, zoo Suggests: R.rsp VignetteBuilder: R.rsp LinkingTo: Rcpp, RcppArmadillo Date: 2025-11-14 Authors@R: person("Krzysztof", "Drachal", role = c("aut","cre"), email="kdrachal@wne.uw.edu.pl", comment = "Faculty of Economic Sciences, University of Warsaw, Poland") Author: Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland) Maintainer: Krzysztof Drachal Description: Allows to estimate dynamic model averaging, dynamic model selection and median probability model. The original methods are implemented, as well as, selected further modifications of these methods. In particular the user might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using 'Google Trends'. The code is written in a way which minimises the computational burden (which is quite an obstacle for dynamic model averaging if many variables are used). For example, this package allows for parallel computations and Occam's window approach. The package is designed in a way that is hoped to be especially useful in economics and finance. Main reference: Raftery, A.E., Karny, M., Ettler, P. (2010) . License: GPL-3 LazyData: TRUE URL: https://CRAN.R-project.org/package=fDMA Note: Research funded by the Polish National Science Centre grant under the contract number DEC-2015/19/N/HS4/00205. Config/pak/sysreqs: libpng-dev libssl-dev Repository: https://kdrachal.r-universe.dev Date/Publication: 2025-11-18 11:48:34 UTC RemoteUrl: https://github.com/kdrachal/fdma RemoteRef: HEAD RemoteSha: 51ac4eb3410493a091e7551d74016e3569dc5f54 NeedsCompilation: yes Packaged: 2026-06-16 09:05:55 UTC; root