astsa: Applied Statistical Time Series Analysis

Data sets and scripts to accompany Time Series Analysis and Its Applications: With R Examples (4th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2017, <doi:10.1007/978-3-319-52452-8>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <doi:10.1201/9780429273285>.

Version: 1.16
Depends: R (≥ 3.5)
Published: 2022-08-28
Author: David Stoffer [aut, cre], Nicky Poison [ctb, mus, spy]
Maintainer: David Stoffer <stoffer at pitt.edu>
BugReports: https://github.com/nickpoison/astsa/issues
License: GPL-3
URL: https://github.com/nickpoison/astsa/, https://www.stat.pitt.edu/stoffer/tsa4/, https://www.stat.pitt.edu/stoffer/tsda/
NeedsCompilation: no
Materials: README
In views: TimeSeries
CRAN checks: astsa results

Documentation:

Reference manual: astsa.pdf

Downloads:

Package source: astsa_1.16.tar.gz
Windows binaries: r-devel: astsa_1.16.zip, r-release: astsa_1.16.zip, r-oldrel: astsa_1.16.zip
macOS binaries: r-release (arm64): astsa_1.16.tgz, r-oldrel (arm64): astsa_1.16.tgz, r-release (x86_64): astsa_1.16.tgz, r-oldrel (x86_64): astsa_1.16.tgz
Old sources: astsa archive

Reverse dependencies:

Reverse depends: nortestARMA
Reverse imports: bayesforecast, ForeCA, tswge

Linking:

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