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sinar: Conditional Least Squared (CLS) Method for the Model SINAR(1,1)

Implementation of the Conditional Least Square (CLS) estimates and its covariance matrix for the first-order spatial integer-valued autoregressive model (SINAR(1,1)) proposed by Ghodsi (2012) <doi:10.1080/03610926.2011.560739>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: MASS, stats, numDeriv
Published: 2020-11-06
DOI: 10.32614/CRAN.package.sinar
Author: Gilberto P. Sassi [aut, cre], Carolina C. M. Paraíba [aut]
Maintainer: Gilberto P. Sassi <sassi.pereira.gilberto at gmail.com>
BugReports: https://github.com/gilberto-sassi/sinar/issues
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: sinar results

Documentation:

Reference manual: sinar.pdf

Downloads:

Package source: sinar_0.1.0.tar.gz
Windows binaries: r-devel: sinar_0.1.0.zip, r-release: sinar_0.1.0.zip, r-oldrel: sinar_0.1.0.zip
macOS binaries: r-release (arm64): sinar_0.1.0.tgz, r-oldrel (arm64): sinar_0.1.0.tgz, r-release (x86_64): sinar_0.1.0.tgz, r-oldrel (x86_64): sinar_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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