Package: pika 0.2.0

Kylie Ainslie

pika: Evaluate Correlation Between Time Series

This package takes two time series as inputs and first, determines the lag for the primary time series at which the cross-correlation between the two time series is highest. Second, the rolling correlation is calculated between the lagged primary time-series and the secondary time series.

Authors:Kylie Ainslie [aut, cre]

pika_0.2.0.tar.gz
pika_0.2.0.zip(r-4.7-any)pika_0.2.0.zip(r-4.6-any)pika_0.2.0.zip(r-4.5-any)
pika_0.2.0.tgz(r-4.6-any)pika_0.2.0.tgz(r-4.5-any)
pika_0.2.0.tar.gz(r-4.7-any)pika_0.2.0.tar.gz(r-4.6-any)
pika_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pika/json (API)

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

Bug tracker:https://github.com/mrc-ide/pika/issues

Pkgdown/docs site:https://mrc-ide.github.io

Datasets:

On CRAN:

Conda:

1.90 score 4 stars 6 exports 52 dependencies

Last updated from:40bc8202e3 (on master). Checks:6 ERROR, 2 WARNING, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develERROR145
source / vignettesERROR240
linux-releaseERROR162
macos-releaseERROR130
macos-oldrelWARNING136
windows-develERROR89
windows-releaseERROR106
windows-oldrelWARNING109
wasm-releaseOK118

Exports:calc_percent_changecross_correstimate_rtplot_corrplot_lagrolling_corr

Dependencies:aweekclicoarseDataToolscodacpp11curldplyrEpiEstimfarverfitdistrplusgenericsggplot2gluegridExtragtableincidenceisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackpillarpkgconfigplyrpurrrquantregR6RColorBrewerRcppreshape2rlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselectTTRutf8vctrsviridisLitewithrxtszoo