Package: outliers.ts.oga 0.0.1

Pedro Galeano

outliers.ts.oga: Efficient Outlier Detection in Heterogeneous Time Series Databases

Programs for detecting and cleaning outliers in single time series and in time series from homogeneous and heterogeneous databases using an Orthogonal Greedy Algorithm (OGA) for saturated linear regression models. The programs implement the procedures presented in the paper entitled "Efficient outlier detection in heterogeneous time series databases" by Pedro Galeano, Daniel Peña and Ruey S. Tsay (2024), working paper, Universidad Carlos III de Madrid.

Authors:Pedro Galeano [aut, cre], Daniel Peña [aut], Ruey S. Tsay [aut]

outliers.ts.oga_0.0.1.tar.gz
outliers.ts.oga_0.0.1.tar.gz(r-4.5-noble)outliers.ts.oga_0.0.1.tar.gz(r-4.4-noble)
outliers.ts.oga_0.0.1.tgz(r-4.4-emscripten)outliers.ts.oga_0.0.1.tgz(r-4.3-emscripten)
outliers.ts.oga.pdf |outliers.ts.oga.html✨
outliers.ts.oga/json (API)

# Install 'outliers.ts.oga' in R:

install.packages('outliers.ts.oga', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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

3 exports 0.00 score 155 dependencies 751 downloads

Last updated 4 months agofrom:ec58455502. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 02 2024
R-4.5-linux	OK	Sep 02 2024

Exports:db_het_oga db_hom_oga single_oga

Dependencies:attention base64enc bslib cachem caret class cli clock cluster clv codetools colorspace commonmark corpcor cpp11 curl cvar data.table DEoptimR diagram digest dplyr dtw e1071 evaluate fansi farver fastICA fastmap fBasics fGarch fit.models fontawesome foreach forecast fracdiff fs future future.apply gbutils generics ggplot2 ggtext glmnet globals glue gower gridtext gsarima gss gtable hardhat highr htmltools htmlwidgets imputeTS ipred isoband iterators jpeg jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv lmtest locpol longitudinalData lubridate magrittr markdown MASS Matrix matrixcalc memoise mgcv mime misc3d ModelMetrics MTS munsell mvtnorm nlme nnet numDeriv parallelly pcaPP pdc pillar pkgconfig plyr png pROC prodlim progressr proxy purrr quadprog quantmod R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack recipes reshape2 rgl rlang rmarkdown rnn robust robustbase rpart rrcov sass scales shape sigmoid SLBDD spatial SQUAREM stabledist stinepack stringi stringr survival tibble tidyr tidyselect timechange timeDate timeSeries tinytex TSclust tseries tsoutliers TTR tzdb urca utf8 vctrs viridisLite withr xfun xml2 xts yaml zoo

Help page	Topics
Detecting and cleaning outliers in a heterogeneous time series database with OGA	db_het_oga
Detecting and cleaning outliers in a homogeneous time series database with OGA	db_hom_oga
Detect and clean outlying effects in a single time series with OGA	single_oga

Package: outliers.ts.oga 0.0.1

outliers.ts.oga: Efficient Outlier Detection in Heterogeneous Time Series Databases

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