Intuitionistic Fuzzy Autoregressive Integrated Moving Average Model R package IFARIMA version 0.1.0 The Intuitionistic Fuzzy Autoregressive Integrated Moving Average model offers advanced time series forecasting by integrating intuitionistic fuzzy sets with ARIMA. It enhances prediction accuracy by handling uncertainties and hesitations more effectively than traditional models, making it ideal for complex, real-world data applications. The package has been developed using the algorithm of Yolcu and Yolcu (2023) <doi:10.1016/j.eswa.2022.119336>. Software Imports: stats, forecast Suggests: testthat (>= 3.0.0) Md Yeasin <yeasin.iasri@gmail.com> Comprehensive R Archive Network (CRAN) Anita Sarkar [aut], Ankit Kumar Singh [aut], Md Yeasin [aut, cre], Ranjit Kumar Paul [aut], Amrit Kumar Paul [aut], Pushkar Bora [aut] GPL-3 2026-10-29 application/tgz https://CRAN.R-project.org/package=IFARIMA doi:10.32614/CRAN.package.IFARIMA