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NScluster (version 1.2.0)

Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models

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) . For estimating parameters by the simplex method, parallel computation using 'OpenMP' application programming interface is available.

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Version

Install

install.packages('NScluster')

Monthly Downloads

575

Version

1.2.0

License

GPL (>= 2)

Maintainer

Masami Saga

Last Published

March 19th, 2018

Functions in NScluster (1.2.0)

PalmTypeA

Non-Parametric and Parametric Estimate of the Palm Intensity of Type A Model
PalmTypeB

Non-Parametric and Parametric Estimate of the Palm Intensity of Type B Model
SimulateTypeB

Simulation of the Generalized Thomas Model of Type B
EstimateTypeA

Parameter Estimation of the Type A Model
SimulateTypeC

Simulation of the Generalized Thomas Model of Type C
SimulateThomas

Simulation of the Thomas Model
EstimateTypeB

Parameter Estimation of the Type B Model
SimulateTypeA

Simulation of the Generalized Thomas Model of Type A
PalmIP

Non-Parametric and Parametric Estimate of the Palm Intensity of Inverse-Power Type Model
PalmTypeC

Non-Parametric and Parametric Estimate of the Palm Intensity of Type C Model
EstimateIP

Parameter Estimation of the Inverse-Power Type Model
SimulateIP

Simulation of the Inverse-Power Type Model
EstimateThomas

Parameter Estimation of the Thomas Model
EstimateTypeC

Parameter Estimation of the Type C Model
NScluster-package

Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
PalmThomas

Non-Parametric and Parametric Estimate of the Palm Intensity of Thomas Model