dplyr, stringr, tidyselect, purrr, janitor, tibble, rlang,
stats, rlist, broom, magrittr, ggeasy, ggplot2, jtools, gtools,
ggthemes, patchwork, tidyr, xgboost, flextable, parsnip,
recipes, rsample, tune, workflows, forcats, framecleaner,
presenter, yardstick, dials, readr, lubridate, party,
data.table, FOCI, XICOR, agtboost, nnet, recosystem, doParallel
knitr, rmarkdown, parallel, igraph, moreparty, broom.mixed,
hardhat, glmnet, Ckmeans.1d.dp, ggstance, Matrix, BBmisc

dplyr, stringr, tidyselect, purrr, janitor, tibble, rlang,
stats, rlist, broom, magrittr, ggeasy, ggplot2, jtools, gtools,
ggthemes, patchwork, tidyr, xgboost, parsnip, recipes, rsample,
tune, workflows, framecleaner, presenter, yardstick, dials,
party, data.table, nnet, recosystem
knitr, rmarkdown, forcats, parallel, doParallel, igraph,
moreparty, broom.mixed, hardhat, flextable, glmnet,
Ckmeans.1d.dp, ggstance, Matrix, BBmisc, XICOR, readr,
lubridate

Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components using the Kalman filter.
See Koopman, Siem Jan and Marios Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models <doi:10.1093/oxfordhb/9780195398649.013.0006>.

Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components using the Kalman filter.
See Koopman, Siem Jan and Marius Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models <doi:10.1093/oxfordhb/9780195398649.013.0006>.

Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components 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/>.