Package: PPTS 1.0
Daniel Gervini
PPTS: Point Process Time Series
Provides functions for point process time series. Autocorrelation functions for spatial and temporal time series, and estimation of trend-plus-seasonality models for temporal and spatial time series. See Gervini (2025) <doi:10.1111/jtsa.70018> and Gervini and Kopischke (2026) <doi:10.48550/arXiv.2605.21884>.
Authors:
PPTS_1.0.tar.gz
PPTS_1.0.tar.gz(r-4.7-any)PPTS_1.0.tar.gz(r-4.6-any)
PPTS_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PPTS/json (API)
| # Install 'PPTS' in R: |
| install.packages('PPTS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ff19d2e5c3. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 100 | ||
| source / vignettes | OK | 135 | ||
| linux-release-x86_64 | OK | 99 | ||
| wasm-release | OK | 83 |
Exports:acf_sPPacf_tPPtrend_seas_strend_seas_t
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| PPTS | PPTS-package PPTS |
| Autocorrelogram for spatial point-process time series | acf_sPP |
| Autocorrelogram for temporal point-process time series | acf_tPP |
| Divvy Bike Rides | bikes |
| Chicago Street Theft | crime |
| Trend and seasonality estimation for spatial Point Process Time Series | trend_seas_s |
| Trend and seasonality estimation for temporal Point Process Time Series | trend_seas_t |