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ltsa: Linear Time Series Analysis

Methods of developing linear time series modelling. Methods are given for loglikelihood computation, forecasting and simulation.

Version: 1.4.6
Depends: R (≥ 2.1.0)
Published: 2015-12-21
Author: A.I. McLeod, Hao Yu, Zinovi Krougly
Maintainer: A.I. McLeod <aimcleod at uwo.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stats.uwo.ca/faculty/aim
NeedsCompilation: yes
Classification/ACM: G.3, G.4, I.5.1
Classification/MSC: 62M10, 91B84
Citation: ltsa citation info
Materials: NEWS
In views: TimeSeries
CRAN checks: ltsa results

Documentation:

Reference manual: ltsa.pdf

Downloads:

Package source: ltsa_1.4.6.tar.gz
Windows binaries: r-devel: ltsa_1.4.6.zip, r-release: ltsa_1.4.6.zip, r-oldrel: ltsa_1.4.6.zip
macOS binaries: r-release (arm64): ltsa_1.4.6.tgz, r-oldrel (arm64): ltsa_1.4.6.tgz, r-release (x86_64): ltsa_1.4.6.tgz, r-oldrel (x86_64): ltsa_1.4.6.tgz
Old sources: ltsa archive

Reverse dependencies:

Reverse depends: arfima
Reverse imports: artfima, beyondWhittle, ConfZIC, garma, gmwmx, sarima, slm, tscopula, tscount
Reverse suggests: HKprocess

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ltsa to link to this page.

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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