Package: postshock 0.2.0

postshock: Post-Shock Forecasting with an Intercept Correction Modeling Framework

Implements donor balancing weights (DBW) and related utilities for post-shock time-series forecasting. The methods estimate a post-shock intercept-correction term using information aggregated from donor series.

Authors:Qiyang Wang [aut, cre], Daniel J. Eck [aut]

postshock_0.2.0.tar.gz
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postshock_0.2.0.tgz(r-4.6-any)postshock_0.2.0.tgz(r-4.5-any)
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
postshock/json (API)

# Install 'postshock' in R:
install.packages('postshock', repos = c('https://wqy497.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wqy497/postshock/issues

Datasets:

On CRAN:

Conda:

3.92 score 12 stars 14 scripts 220 downloads 7 exports 43 dependencies

Last updated from:053d52f408. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING146
source / vignettesOK183
linux-releaseWARNING124
macos-releaseWARNING181
macos-oldrelWARNING184
windows-develWARNING82
windows-releaseWARNING94
windows-oldrelWARNING89
wasm-releaseOK86

Exports:auto_garchauto_garchxbuild_control_xregdbwSynthPredictionSynthPredictionMultiPoolSynthVolForecast

Dependencies:clicodetoolscolorspacecpp11digestfarverforecastfracdifffuturefuture.applygarchxgenericsggplot2globalsgluegtableisobandlabelinglatticelifecyclelistenvlmtestmagrittrnlmennetnumDerivparallellyR6RColorBrewerRcppRcppArmadillorlangRsolnpS7scalestimeDatetruncnormurcavctrsviridisLitewithrxtszoo