Package: ltsa 1.4.6

ltsa: Linear Time Series Analysis

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

Authors:A.I. McLeod, Hao Yu, Zinovi Krougly

ltsa_1.4.6.tar.gz
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ltsa_1.4.6.tgz(r-4.4-x86_64)ltsa_1.4.6.tgz(r-4.4-arm64)ltsa_1.4.6.tgz(r-4.3-x86_64)ltsa_1.4.6.tgz(r-4.3-arm64)
ltsa_1.4.6.tar.gz(r-4.5-noble)ltsa_1.4.6.tar.gz(r-4.4-noble)
ltsa_1.4.6.tgz(r-4.4-emscripten)ltsa_1.4.6.tgz(r-4.3-emscripten)
ltsa.pdf |ltsa.html
ltsa/json (API)
NEWS

# Install 'ltsa' in R:
install.packages('ltsa', repos = c('https://angusian.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

16 exports 2.35 score 0 dependencies 11 dependents 42 scripts 904 downloads

Last updated 9 years agofrom:0a03bbb7cf. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64NOTESep 08 2024
R-4.5-linux-x86_64NOTESep 08 2024
R-4.4-win-x86_64NOTESep 08 2024
R-4.4-mac-x86_64NOTESep 08 2024
R-4.4-mac-aarch64NOTESep 08 2024
R-4.3-win-x86_64OKSep 08 2024
R-4.3-mac-x86_64OKSep 08 2024
R-4.3-mac-aarch64OKSep 08 2024

Exports:DHSimulateDLAcfToARDLLoglikelihoodDLResidualsDLSimulateexactLoglikelihoodinnovationVarianceis.toeplitzPredictionVarianceSimGLPtacvfARMAToeplitzInverseUpdateTrenchForecastTrenchInverseTrenchLoglikelihoodTrenchMean

Dependencies: