STL Decomposition and ARIMA Hybrid Forecasting Model R package stlARIMA version 0.1.0 Univariate time series forecasting with STL decomposition based auto regressive integrated moving average (ARIMA) hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>. Software Depends: R (>= 2.10) Imports: forecast Ronit Jaiswal <ronitjaiswal2912@gmail.com> Comprehensive R Archive Network (CRAN) Ronit Jaiswal [aut, cre], Girish Kumar Jha [aut, ctb], Rajeev Ranjan Kumar [ctb], Kapil Choudhary [ctb] GPL-3 2021-08-16 application/tgz https://CRAN.R-project.org/package=stlARIMA doi:10.32614/CRAN.package.stlARIMA