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stopp  

Spatio-Temporal Point Pattern Methods, Model Fitting, Diagnostics, Simulation, Local Tests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("stopp", "0.2.4")



Attach the package and use:
library("stopp")
Maintained by
Nicoletta D'Angelo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-24
Latest Update: 2023-07-03
Description:
Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.
How to cite:
Nicoletta D'Angelo (2023). stopp: Spatio-Temporal Point Pattern Methods, Model Fitting, Diagnostics, Simulation, Local Tests. R package version 0.2.4, https://cran.r-project.org/web/packages/stopp. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2023-02-24 20:30), 0.1.1 (2023-07-03 10:50), 0.2.0 (2024-03-19 12:10), 0.2.1 (2024-04-05 17:00), 0.2.2 (2024-04-16 17:10), 0.2.3 (2024-04-18 11:30)
Other packages that cited stopp R package
View stopp citation profile
Other R packages that stopp depends, imports, suggests or enhances
Complete documentation for stopp
Functions, R codes and Examples using the stopp R package
Some associated functions: AIC.stppm . BIC.stppm . as.stlp . as.stlpp . as.stp . as.stpp . chicagonet . coef.locstppm . coef.stppm . globaldiag . greececatalog . infl . is.stlp . is.stp . localSTLKinhom . localSTLginhom . localdiag . localplot.locstppm . localplot.stlgcppm . localsummary.locstppm . localsummary.stlgcppm . localtest . locstppm . plot.localdiag . plot.localtest . plot.locstppm . plot.sepstlppm . plot.sepstppm . plot.stlgcppm . plot.stlp . plot.stp . plot.stppm . predict.locstppm . predict.stppm . print.localdiag . print.localtest . print.locstppm . print.stlgcppm . print.stlp . print.stp . print.stppm . rETASlp . rETASp . rstlpp . rstpp . sepstlppm . sepstppm . stlgcppm . stopp-package . stp . stppm . summary.localdiag . summary.localtest . summary.locstppm . summary.stlgcppm . summary.stlp . summary.stp . summary.stppm . valenciacrimes . valencianet . 
Some associated R codes: AIC.stppm.R . BIC.stppm.R . as.stlp.R . as.stlpp.R . as.stp.R . as.stpp.R . coef.locstppm.R . coef.stppm.R . globaldiag.R . infl.R . internals.R . is.stlp.R . is.stp.R . localSTLKinhom.R . localSTLginhom.R . localdiag.R . localplot.locstppm.R . localplot.stlgcppm.R . localsummary.locstppm.R . localsummary.stlgcppm.R . localtest.R . locstppm.R . plot.localdiag.R . plot.localtest.R . plot.locstppm.R . plot.sepstlppm.R . plot.sepstppm.R . plot.stlgcppm.R . plot.stlp.R . plot.stp.R . plot.stppm.R . predict.locstppm.R . predict.stppm.R . print.localdiag.R . print.localtest.R . print.locstppm.R . print.stlgcppm.R . print.stlp.R . print.stp.R . print.stppm.R . rETASlp.R . rETASp.R . rstlpp.R . rstpp.R . sepstlppm.R . sepstppm.R . stlgcppm.R . stp.R . stppm.R . summary.localdiag.R . summary.localtest.R . summary.locstppm.R . summary.stlgcppm.R . summary.stlp.R . summary.stp.R . summary.stppm.R .  Full stopp package functions and examples
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