Methods of developing linear time series modelling. Methods are given for loglikelihood computation, forecasting and simulation.
Version: 1.4.6.1 Depends: R (≥ 2.1.0) Published: 2024-09-18 DOI: 10.32614/CRAN.package.ltsa Author: A.I. McLeod [aut, cre], Hao Yu [aut], Zinovi Krougly [aut] 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.html , ltsa.pdf Downloads: Package source: ltsa_1.4.6.1.tar.gz Windows binaries: r-devel: ltsa_1.4.6.1.zip, r-release: ltsa_1.4.6.1.zip, r-oldrel: ltsa_1.4.6.1.zip macOS binaries: r-release (arm64): ltsa_1.4.6.1.tgz, r-oldrel (arm64): ltsa_1.4.6.1.tgz, r-release (x86_64): ltsa_1.4.6.1.tgz, r-oldrel (x86_64): ltsa_1.4.6.1.tgz Old sources: ltsa archive Reverse dependencies: Reverse depends: arfima Reverse imports: beyondWhittle, gmwmx, sarima, slm, tscopula, tscount Linking:Please use the canonical form https://CRAN.R-project.org/package=ltsa to link to this page.
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