Package: mvLSWimpute 0.1.1

Matt Nunes

mvLSWimpute: Imputation Methods for Multivariate Locally Stationary Time Series

Implementation of imputation techniques based on locally stationary wavelet time series forecasting methods from Wilson, R. E. et al. (2021) <doi:10.1007/s11222-021-09998-2>.

Authors:Rebecca Wilson [aut], Matt Nunes [aut, cre], Idris Eckley [ctb, ths], Tim Park [ctb]

mvLSWimpute_0.1.1.tar.gz
mvLSWimpute_0.1.1.tar.gz(r-4.7-any)mvLSWimpute_0.1.1.tar.gz(r-4.6-any)
mvLSWimpute_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mvLSWimpute/json (API)

# Install 'mvLSWimpute' in R:
install.packages('mvLSWimpute', repos = c('https://cran.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.

1.00 score 2 scripts 222 downloads 10 exports 56 dependencies

Last updated from:f2de33b3c4. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK168
source / vignettesOK190
linux-release-x86_64OK148
wasm-releaseOK124

Exports:correct_perform_lacv_backwardform_lacv_forwardhaarWTmv_imputepdefpred_eq_backwardpred_eq_forwardsmooth_perspec_estimation

Dependencies:adliftbinhfclicolorspacecommonmarkcpp11curldotCall64EbayesThreshfarverfieldsforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpeglabelinglatticelifecyclelitedownlmtestmagrittrmapsmarkdownMASSmvLSWnlmennetpngR6RColorBrewerRcppRcppArmadillorlangS7scalesspamstinepackstringistringrtimeDateurcavctrsviridisLitewavethreshwithrxfunxml2xtszoo