Package: narfima
Title: Neural AutoRegressive Fractionally Integrated Moving Average
        Model
Version: 0.1.0
Authors@R: 
    c(
      person("Tanujit", "Chakraborty", email = "tanujit.chakraborty@sorbonne.ae", 
             role = c("aut"),
             comment = c(ORCID = "https://orcid.org/0000-0002-3479-2187")),
      person("Donia", "Besher", email = "donia.a.besher@gmail.com", 
             role = c("aut","cre","cph"),
             comment = c(ORCID = "https://orcid.org/0009-0008-8314-1576")),
      person("Madhurima", "Panja", email = "madhurima.panja@sorbonne.ae", 
             role = c("aut"),
             comment = c(ORCID = "https://orcid.org/0009-0004-7467-2456")),
      person("Shovon", "Sengupta", email = "shovon.sengupta@fmr.com", 
             role = c("aut"),
             comment = c(ORCID = "https://orcid.org/0000-0003-2169-7364"))       
    )         
Description: Methods and tools for forecasting univariate time series using the NARFIMA (Neural AutoRegressive Fractionally Integrated Moving Average) model. It combines neural networks with fractional differencing to capture both nonlinear patterns and long-term dependencies. The NARFIMA model supports seasonal adjustment, Box-Cox transformations, optional exogenous variables, and the computation of prediction intervals. In addition to the NARFIMA model, this package provides alternative forecasting models including NARIMA (Neural ARIMA), NBSTS (Neural Bayesian Structural Time Series), and NNaive (Neural Naive) for performance comparison across different modeling approaches. The methods are based on algorithms introduced by Chakraborty et al. (2025) <doi:10.48550/arXiv.2509.06697>.
Maintainer: Donia Besher <donia.a.besher@gmail.com>
Imports: forecast, nnet, bsts, stats, utils, withr
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-09-15 13:28:23 UTC; d2o0n
Author: Tanujit Chakraborty [aut] (ORCID:
    <https://orcid.org/0000-0002-3479-2187>),
  Donia Besher [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0008-8314-1576>),
  Madhurima Panja [aut] (ORCID: <https://orcid.org/0009-0004-7467-2456>),
  Shovon Sengupta [aut] (ORCID: <https://orcid.org/0000-0003-2169-7364>)
Repository: CRAN
Date/Publication: 2025-09-21 14:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 14:12:41 UTC; unix
