Automatic Structural Time Series Models R package autostsm version 3.1.5 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components, plus optionality for structural interpolation, using the Kalman filter. Koopman, Siem Jan and Marius Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models" <doi:10.1093/oxfordhb/9780195398649.013.0006>. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>. Software Depends: R (>= 3.5.0) Imports: maxLik (>= 1.5-2), forecast (>= 8.15), lubridate (>= 1.7), ggplot2 (>= 3.3), gridExtra (>= 2.3), strucchange (>= 1.5), foreach (>= 1.5), doSNOW (>= 1.0.19), parallel (>= 4.1.1), lmtest (>= 0.9-38), ggrepel(>= 0.9), progress (>= 1.2), sandwich (>= 3.0), data.table (>= 1.15), kalmanfilter (>= 2.0.1) Suggests: knitr, rmarkdown, testthat Alex Hubbard <hubbard.alex@gmail.com> Comprehensive R Archive Network (CRAN) Alex Hubbard [aut, cre] GPL (>= 2) 2024-06-05 application/tgz https://CRAN.R-project.org/package=autostsm doi:10.32614/CRAN.package.autostsm