Package: ltsa 1.4.6.1

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 [aut, cre], Hao Yu [aut], Zinovi Krougly [aut]

ltsa_1.4.6.1.tar.gz
ltsa_1.4.6.1.zip(r-4.7-x86_64)ltsa_1.4.6.1.zip(r-4.7-arm64)ltsa_1.4.6.1.zip(r-4.6-x86_64)ltsa_1.4.6.1.zip(r-4.6-arm64)ltsa_1.4.6.1.zip(r-4.5-x86_64)
ltsa_1.4.6.1.tgz(r-4.6-x86_64)ltsa_1.4.6.1.tgz(r-4.6-arm64)ltsa_1.4.6.1.tgz(r-4.5-x86_64)ltsa_1.4.6.1.tgz(r-4.5-arm64)
ltsa_1.4.6.1.tar.gz(r-4.7-arm64)ltsa_1.4.6.1.tar.gz(r-4.7-x86_64)ltsa_1.4.6.1.tar.gz(r-4.6-arm64)ltsa_1.4.6.1.tar.gz(r-4.6-x86_64)
ltsa_1.4.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ltsa/json (API)

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

On CRAN:

Conda:

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

3.60 score 10 packages 35 scripts 3.8k downloads 16 exports 0 dependencies

Last updated from:74d44fea1c. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK73
linux-devel-x86_64OK127
source / vignettesOK166
linux-release-arm64OK73
linux-release-x86_64OK82
macos-release-arm64OK126
macos-release-x86_64OK184
macos-oldrel-arm64OK178
macos-oldrel-x86_64OK262
windows-devel-arm64OK316
windows-devel-x86_64OK103
windows-release-arm64OK335
windows-release-x86_64OK66
windows-oldrel-x86_64OK84
wasm-releaseOK66

Exports:DHSimulateDLAcfToARDLLoglikelihoodDLResidualsDLSimulateexactLoglikelihoodinnovationVarianceis.toeplitzPredictionVarianceSimGLPtacvfARMAToeplitzInverseUpdateTrenchForecastTrenchInverseTrenchLoglikelihoodTrenchMean

Dependencies: