Other packages > Find by keyword >

SpTe2M  

Nonparametric Modeling and Monitoring of Spatio-Temporal Data
View on CRAN: Click here


Download and install SpTe2M package within the R console
Install from CRAN:
install.packages("SpTe2M")

Install from Github:
library("remotes")
install_github("cran/SpTe2M")

Install by package version:
library("remotes")
install_version("SpTe2M", "1.0.3")



Attach the package and use:
library("SpTe2M")
Maintained by
Kai Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-06
Latest Update: 2023-09-30
Description:
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>.
How to cite:
Kai Yang (2022). SpTe2M: Nonparametric Modeling and Monitoring of Spatio-Temporal Data. R package version 1.0.3, https://cran.r-project.org/web/packages/SpTe2M. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2022-06-06 11:20), 1.0.1 (2022-08-15 10:20), 1.0.2 (2023-09-29 14:00)
Other packages that cited SpTe2M R package
View SpTe2M citation profile
Other R packages that SpTe2M depends, imports, suggests or enhances
Complete documentation for SpTe2M
Functions, R codes and Examples using the SpTe2M R package
Some associated functions: CV_MSPE . ILI . Mod_CV . SimDat . SpTe2M-package . SpTeMnt_CUSUM . SpTeMnt_EWMAC . SpTeMnt_EWSL . SpTe_CovEst . SpTe_DeCor . SpTe_MeanEst . SpTe_SemiParmReg . 
Some associated R codes: CV_MSPE.R . Mod_CV.R . SpTeMnt_CUSUM.R . SpTeMnt_EWMAC.R . SpTeMnt_EWSL.R . SpTe_CovEst.R . SpTe_DeCor.R . SpTe_MeanEst.R . SpTe_SemiParmReg.R .  Full SpTe2M package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA