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NScluster  

Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("NScluster", "1.3.6-1")



Attach the package and use:
library("NScluster")
Maintained by
Masami Saga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-09-19
Latest Update: 2023-03-25
Description:
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extensions, based on the methodology in Tanaka, Ogata, and Stoyan (2008) . To estimate parameters by the simplex method, parallel computation using 'OpenMP' application programming interface is available. For more details see Tanaka, Saga and Nakano .
How to cite:
Masami Saga (2012). NScluster: Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models. R package version 1.3.6-1, https://cran.r-project.org/web/packages/NScluster. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0.0 (2012-09-19 09:58), 1.0.2 (2014-08-09 08:10), 1.1.0 (2016-12-14 17:23), 1.1.1 (2016-12-15 13:52), 1.2.0 (2018-03-19 09:37), 1.3.1 (2019-02-22 11:20), 1.3.3 (2019-12-01 16:40), 1.3.4 (2019-12-02 10:20), 1.3.5 (2021-05-28 19:10)
Other packages that cited NScluster R package
View NScluster citation profile
Other R packages that NScluster depends, imports, suggests or enhances
Complete documentation for NScluster
Functions, R codes and Examples using the NScluster R package
Some associated functions: NScluster-package . boot.mple . mple.cppm . palm.cppm . plot.Palm . plot.mple . print.mple . sim.cppm . 
Some associated R codes: boot.R . mple.R . palm.R . simulate.R .  Full NScluster package functions and examples
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