Linear Innovations State Space Unobserved Components Model

Unobserved components time series model using the linear innovations state space representation (single source of error) with choice of error distributions and option for dynamic variance. Methods for estimation using automatic differentiation, automatic model selection and ensembling, prediction, filtering, simulation and backtesting. Based on the model described in Hyndman et al (2012) .


Reference manual

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install.packages("tsissm")

1.0.3 by Alexios Galanos, 3 months ago


https://github.com/tsmodels/tsissm, https://www.nopredict.com/packages/tsissm


Browse source code at https://github.com/cran/tsissm


Authors: Alexios Galanos [aut, cre] (ORCID:


Documentation:   PDF Manual  


GPL-2 license


Imports TMB, methods, tsaux, tsdistributions, zoo, xts, copula, flextable, data.table, sandwich, nloptr, RTMB, viridisLite, future, future.apply, progressr

Depends on Rcpp, tsmethods

Suggests rmarkdown, tstests, knitr, testthat

Linking to Rcpp, TMB, RcppEigen


See at CRAN