Package: tsissm 1.0.3

tsissm: 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) <doi:10.1198/jasa.2011.tm09771>.
Authors:
tsissm_1.0.3.tar.gz
tsissm_1.0.3.zip(r-4.7)tsissm_1.0.3.zip(r-4.6)tsissm_1.0.3.zip(r-4.5)
tsissm_1.0.3.tgz(r-4.6-x86_64)tsissm_1.0.3.tgz(r-4.6-arm64)tsissm_1.0.3.tgz(r-4.5-x86_64)tsissm_1.0.3.tgz(r-4.5-arm64)
tsissm_1.0.3.tar.gz(r-4.7-arm64)tsissm_1.0.3.tar.gz(r-4.7-x86_64)tsissm_1.0.3.tar.gz(r-4.6-arm64)tsissm_1.0.3.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tsissm/json (API)
| # Install 'tsissm' in R: |
| install.packages('tsissm', repos = c('https://tsmodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tsmodels/tsissm/issues
- maunaloa - Mauna Loa CO2 Daily Measurements
- spy - SPY ETF Adjusted Close
- us_retail_sales - Advance Retail Sales: Retail Trade
Last updated from:e6eb6a12f7. Checks:12 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 325 | ||
| linux-devel-x86_64 | OK | 333 | ||
| source / vignettes | OK | 480 | ||
| linux-release-arm64 | OK | 312 | ||
| linux-release-x86_64 | OK | 313 | ||
| macos-release-arm64 | OK | 175 | ||
| macos-release-x86_64 | OK | 872 | ||
| macos-oldrel-arm64 | OK | 191 | ||
| macos-oldrel-x86_64 | OK | 568 | ||
| windows-devel | OK | 316 | ||
| windows-release | OK | 347 | ||
| windows-oldrel | OK | 284 | ||
| wasm-release | FAIL | 186 |
Exports:as_flextablebreadestfunhresidualsissm_controlissm_modelspectsissm_capabilities
Dependencies:abindADGofTestalabamaaskpassbackportsbase64encbootbroombslibcachemcarcarDatacliclustercodetoolscolorspacecopulacowplotcpp11data.tableDerivdigestDistributionUtilsdoBydplyrevaluatefarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforecastFormulafracdifffsfuturefuture.applygdtoolsGeneralizedHyperbolicgenericsggplot2globalsgluegslgtablehighrhtmltoolsisobandjquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelistenvlme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmemoisemevmgcvmimeminqamodelrmvtnormnleqslvnlmenloptrnnetnumDerivofficeropensslparallellypbkrtestpcaPPpillarpkgconfigprogressrpsplinepurrrquantregR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownRsolnpRTMBS7sandwichsassscalesscoringRulesSkewHyperbolicSparseMstablediststringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttimechangetimeDatetinytexTMBtruncnormtsauxtsdistributionstsmethodstsoutliersurcautf8uuidvctrsviridisLitewithrxfunxml2xtsyamlzipzoo
Last update: 2026-07-03
Started: 2025-04-14
Last update: 2025-04-26
Started: 2025-04-14
Last update: 2025-04-22
Started: 2025-04-14
Last update: 2025-04-14
Started: 2025-04-14
Last update: 2025-04-14
Started: 2025-04-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Akaike's An Information Criterion | AIC AIC.tsissm.estimate AIC.tsissm.selection |
| Transform a summary object into flextable | as_flextable.summary.tsissm.estimate |
| Bayesian Information Criterion | BIC BIC.tsissm.estimate BIC.tsissm.selection |
| Bread Method | bread.tsissm.estimate |
| Extract Model Coefficients | coef coef.tsissm.estimate |
| Score Method | estfun.tsissm.estimate |
| Model Estimation | estimate estimate.tsissm.autospec estimate.tsissm.spec |
| Model Fitted Values | fitted fitted.tsissm.estimate |
| Multi-Step Ahead In-Sample Residuals | hresiduals hresiduals.tsissm.estimate |
| ISSM solver control parameters | issm_control |
| Model Specification | issm_modelspec |
| Model Log-Likelihood | logLik logLik.tsissm.estimate logLik.tsissm.selection |
| Mauna Loa CO2 Daily Measurements | maunaloa |
| Extract the Number of Observations | nobs nobs.tsissm.estimate |
| Object Plots | plot plot.tsissm.estimate plot.tsissm.profile plot.tsissm.simulate |
| Model Prediction | predict predict.tsissm.estimate predict.tsissm.selection |
| Model Estimation Summary Print method | print.summary.tsissm.estimate |
| Model Diagnostics Print method | print.tsissm.diagnose |
| Model Residuals | residuals residuals.tsissm.estimate |
| The Standard Deviation of the model | sigma sigma.tsissm.estimate |
| Model Simulation | simulate simulate.tsissm.estimate simulate.tsissm.selection |
| SPY ETF Adjusted Close | spy |
| Model Estimation Summary | summary summary.tsissm.estimate |
| Walk Forward Model Backtest | tsbacktest tsbacktest.tsissm.autospec tsbacktest.tsissm.spec |
| Model Decomposition | tsdecompose tsdecompose.tsissm.estimate tsdecompose.tsissm.predict tsdecompose.tsissm.simulate |
| Model Diagnostics | tsdiagnose tsdiagnose.tsissm.estimate |
| Ensembling of Models and Predictions | tsensemble tsensemble.tsissm.selection tsensemble.tsissm.selection_predict tsensemble.tsissm.selection_simulate |
| Model Equation (LaTeX) | tsequation tsequation.tsissm.estimate |
| Online Model Filtering | tsfilter tsfilter.tsissm.estimate tsfilter.tsissm.selection |
| Runtime Capabilities | tsissm_capabilities |
| Performance Metrics | tsmetrics tsmetrics.tsissm.estimate tsmetrics.tsissm.predict |
| Analytic Forecast Moments | tsmoments tsmoments.tsissm.estimate |
| Model Simulation Based Profiling | tsprofile tsprofile.tsissm.estimate |
| Model Specification Extractor | tsspec tsspec.tsissm.estimate |
| Advance Retail Sales: Retail Trade (US) | us_retail_sales |
| The Covariance Matrix of the Estimated Parameters | vcov vcov.tsissm.estimate |
