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:Patrick English

its.analysis_1.6.0.tar.gz
its.analysis_1.6.0.zip(r-4.7)its.analysis_1.6.0.zip(r-4.6)its.analysis_1.6.0.zip(r-4.5)
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manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

Conda:

3.54 score 7 stars 9 scripts 240 downloads 2 exports 70 dependencies

Last updated from:c5d77bc410. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING218
source / vignettesOK182
linux-release-x86_64WARNING148
macos-release-arm64WARNING138
macos-oldrel-arm64WARNING158
windows-develWARNING99
windows-releaseWARNING107
windows-oldrelWARNING97
wasm-releaseOK119

Exports:itsa.modelitsa.postest

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo