Package: its.analysis 1.6.0
its.analysis: Running Interrupted Time Series Analysis
Two functions for running and then post-estimating an Interrupted Time Series Analysis model. This is a solution for running time series analyses on temporally short data. See English (2019) 'The its.analysis R package - Modelling short time series data' <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3398189> for an overview of the method.
Authors:
its.analysis_1.6.0.tar.gz
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its.analysis.pdf |its.analysis.html✨
its.analysis/json (API)
# Install 'its.analysis' in R: |
install.packages('its.analysis', repos = c('https://patrick-eng.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/patrick-eng/its.analysis/issues
Last updated 4 years agofrom:c5d77bc410. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | WARNING | Nov 05 2024 |
R-4.5-linux | WARNING | Nov 05 2024 |
R-4.4-win | WARNING | Nov 05 2024 |
R-4.4-mac | WARNING | Nov 05 2024 |
R-4.3-win | WARNING | Nov 05 2024 |
R-4.3-mac | WARNING | Nov 05 2024 |
Exports:itsa.modelitsa.postest
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11curlDerivdoBydplyrfansifarverforecastFormulafracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpurrrquadprogquantmodquantregR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Run Interrupted Time Series Analyses | itsa.model |
Post-estimating ITSA models | itsa.postest |