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SpTe2M

1.0.3Package record

Nonparametric Modeling and Monitoring of Spatio-Temporal Data

0packages depend
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Kai YangCRAN page ↗

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

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 1.0.3
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

2.7K
CRAN downloads in the past year
Rank #14,056 · ~7/day · ~225/mo
Daily download trend is not available in this view yet.
37630 days
83090 days
2.7K1 year
Compare downloads with other packages →
Also on484 r2u5 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing SpTe2M adds 46 packages (24 with compiled code, 39 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, sass 2.9 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.0 (2022)
Contributor
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.3Latest
    record
    2023-09-30 · current release · diff ↗
  • 1.0.2
    record
    2023-09-29 · diff ↗ ·
    removed 9 exports
    CV_MSPE, Mod_CV, SpTe_CovEst, SpTe_DeCor, SpTe_MeanEst, SpTe_SemiParmReg, SpTeMnt_CUSUM, SpTeMnt_EWMAC, SpTeMnt_EWSL
    added 9 exports
    cv_mspe, mod_cv, spte_covest, spte_decor, spte_meanest, spte_semiparmreg, sptemnt_cusum, sptemnt_ewmac, sptemnt_ewsl
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-08-15
  • 1.0.1
    record
    2022-08-15 · diff ↗
  • archivedRemoved from CRAN
    2022-08-12
    requires archived package 'genlasso'
  • 1.0.0
    record
    2022-06-06
  • R
    R 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")
Yang, K., & Qiu, P. (2023). SpTe2M: Nonparametric Modeling and Monitoring of Spatio-Temporal Data (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SpTe2M version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

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.

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