Author: The Institute of Statistical Mathematics, based on the program by Ushio Tanaka
Description: This package simulates and estimates spatial clustered point patterns of the Neyman-Scott model and their extensions.
MailingList: Please send questions and comments regarding NScluster to

Description: Simulation and estimation for Neyman-Scott spatial cluster point process models and their extensions. For estimating parameters by the simplex method, parallel computation using OpenMP application programming interface is available.
MailingList: Please send comments and bug reports to

Authors@R: c(person("Ushio","Tanaka", role="aut", comment = "Fortran original"),
person("Masami", "Saga", role=c("aut", "cre"), email="msaga@mtb.biglobe.ne.jp"))
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) <doi:10.1002/bimj.200610339>. For estimating parameters by
the simplex method, parallel computation using 'OpenMP' application programming
MailingList: Please send bug reports to ismrp@jasp.ism.ac.jp
Author: Ushio Tanaka [aut] (Fortran original),

person("Masami", "Saga", role=c("aut", "cre"), email="msaga@mtb.biglobe.ne.jp"),
and Stoyan (2008) <doi:10.1002/bimj.200610339>. To estimate parameters by the
simplex method, parallel computation using 'OpenMP' application programming

interface is available. For more details see Tanaka, Saga and Nakano

person("Ruey", "Tsay", email = "ruey.tsay@chicagobooth.edu", role = "aut"),
person("Rong", "Chen", email = "rongchen@stat.rutgers.edu", role = "aut"),
person("Xialu", "Liu", email = "xialu.liu@sdsu.edu", role = c("aut", "cre")))
Description: Simulation, estimation, prediction procedure, and model identification methods for nonlinear time series analysis, including threshold autoregressive models, Markov-switching models, convolutional functional autoregressive models, nonlinearity tests, Kalman filters and various sequential Monte Carlo methods. More examples and details about this package can be found in the book "Nonlinear Time Series Analysis" by Ruey S. Tsay and Rong Chen, Wiley, 2018 (ISBN: 978-1-119-26407-1).