Package: VARDetect 0.1.8

VARDetect: Multiple Change Point Detection in Structural VAR Models

Implementations of Thresholded Block Segmentation Scheme (TBSS) and Low-rank plus Sparse Two Step Procedure (LSTSP) algorithms for detecting multiple changes in structural VAR models. The package aims to address the problem of change point detection in piece-wise stationary VAR models, under different settings regarding the structure of their transition matrices (autoregressive dynamics); specifically, the following cases are included: (i) (weakly) sparse, (ii) structured sparse, and (iii) low rank plus sparse. It includes multiple algorithms and related extensions from Safikhani and Shojaie (2020) <doi:10.1080/01621459.2020.1770097> and Bai, Safikhani and Michailidis (2020) <doi:10.1109/TSP.2020.2993145>.

Authors:Yue Bai [aut, cre], Peiliang Bai [aut], Abolfazl Safikhani [aut], George Michailidis [aut]

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VARDetect.pdf |VARDetect.html✨
VARDetect/json (API)

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12 exports 1 stars 0.36 score 63 dependencies 1 scripts 369 downloads

Last updated 3 months agofrom:973d2728f6. Checks:OK: 9. Indexed: yes.

Exports:detection_checkeval_funchausdorff_checklag_selectionlstspplot_densityplot_grangerplot_matrixsimu_lstspsimu_tbsssimu_vartbss

Dependencies:clicodetoolscolorspacecorpcorcpp11cvardoParallelfansifarverfastICAfBasicsfGarchforeachgbutilsggplot2glmnetgluegssgtableigraphisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvMTSmunsellmvtnormncvregnlmepicassopillarpkgconfigplyrpracmaR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreshape2rlangscalesshapesparsevarspatialstablediststringistringrsurvivaltibbletimeDatetimeSeriesutf8vctrsviridisLitewithr