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-4.5-noble)mvLSWimpute_0.1.1.tar.gz(r-4.4-noble)
mvLSWimpute_0.1.1.tgz(r-4.4-emscripten)mvLSWimpute_0.1.1.tgz(r-4.3-emscripten)
mvLSWimpute.pdf |mvLSWimpute.html✨
mvLSWimpute/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 199 downloads 10 exports 66 dependencies

Last updated 2 years agofrom:f2de33b3c4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-linuxOKNov 08 2024

Exports:correct_perform_lacv_backwardform_lacv_forwardhaarWTmv_imputepdefpred_eq_backwardpred_eq_forwardsmooth_perspec_estimation

Dependencies:adliftbinhfclicolorspacecommonmarkcurldotCall64EbayesThreshfansifarverfieldsforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelmtestmagrittrmapsmarkdownMASSMatrixmgcvmunsellmvLSWnlmennetpillarpkgconfigpngquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalesspamstinepackstringistringrtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewavethreshwithrxfunxml2xtszoo