Nonparametric Modeling and Monitoring of Spatio-Temporal Data
Overview
Spatio-temporal data have become increasingly popular in many research fields. Such data often have complex structures that are difficult to describe and estimate. This package provides reliable tools for modeling complicated spatio-temporal data. It also includes tools of online process monitoring to detect possible change-points in a spatio-temporal process over time. More specifically, the package implements the spatio-temporal mean estimation procedure described in Yang and Qiu (2018) doi:10.1002/sim.7622, the spatio-temporal covariance estimation procedure discussed in Yang and Qiu (2019) doi:10.1002/sim.8315, the three-step method for the joint estimation of spatio-temporal mean and covariance functions suggested by Yang and Qiu (2022) doi:10.1007/s10463-021-00787-2, the spatio-temporal disease surveillance method discussed in Qiu and Yang (2021) doi:10.1002/sim.9150 that can accommodate the covariate effect, the spatial-LASSO-based process monitoring method proposed by Qiu and Yang (2023) doi:10.1080/00224065.2022.2081104, and the online spatio-temporal disease surveillance method described in Yang and Qiu (2020) doi:10.1080/24725854.2019.1696496.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-14
Show 2 earlier changesHide 2 earlier changes
- WARNING12 OK, 1 WARNING2026-05-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 13includes a package overview page
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 77%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.3Latest
- 1.0.22023-09-29 · diff ↗ ·
removed 9 exports
CV_MSPE, Mod_CV, SpTe_CovEst, SpTe_DeCor, SpTe_MeanEst, SpTe_SemiParmReg, SpTeMnt_CUSUM, SpTeMnt_EWMAC, SpTeMnt_EWSLadded 9 exports
cv_mspe, mod_cv, spte_covest, spte_decor, spte_meanest, spte_semiparmreg, sptemnt_cusum, sptemnt_ewmac, sptemnt_ewsl - RR 4.3.0 released · 2023-04-21
- unarchivedReturned to CRAN2022-08-15
- 1.0.12022-08-15 · diff ↗
- archivedRemoved from CRAN2022-08-12requires archived package 'genlasso'
- 1.0.02022-06-06
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-06-06
- Total releases
- 4 / 4 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 912 KB / 4 files
- Download size
- 1.8 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SpTe2M")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.