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 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:26), 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

ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
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  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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