Package: TSSS 1.3.4-5
Masami Saga
TSSS: Time Series Analysis with State Space Model
Functions for statistical analysis, modeling and simulation of time series with state space model, based on the methodology in Kitagawa (2020, ISBN: 978-0-367-18733-0).
Authors:
TSSS_1.3.4-5.tar.gz
TSSS_1.3.4-5.tar.gz(r-4.5-noble)TSSS_1.3.4-5.tar.gz(r-4.4-noble)
TSSS_1.3.4-5.tgz(r-4.4-emscripten)TSSS_1.3.4-5.tgz(r-4.3-emscripten)
TSSS.pdf |TSSS.html✨
TSSS/json (API)
NEWS
# Install 'TSSS' in R: |
install.packages('TSSS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- BLSALLFOOD - BLSALLFOOD Data
- HAKUSAN - Ship's Navigation Data
- Haibara - Haibara Data
- MYE1F - Seismic Data
- NLmodel - The Nonlinear State-Space Model Data
- Nikkei225 - Nikkei225
- PfilterSample - Sample Data for Particle Filter and Smoother
- Rainfall - Rainfall Data
- Sunspot - Sunspot Number Data
- Temperature - Temperatures Data
- WHARD - Wholesale Hardware Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:18a19a499a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 10 2024 |
R-4.5-linux-x86_64 | OK | Dec 10 2024 |
Exports:arfitarmachararmafitarmafit2boxcoxcrscorfftperklinfolsarlsar.chgptlsqrmarfitmarlsqmarspcngsimngsmthpdfuncperiodpfilterpfilterNLplot.pfilterplot.tvvarpolregprint.tvvarseasonsimssmtrendtsmoothtvartvspctvvarunicor
Dependencies: