Transmission Channel Analysis in Structural VAR Models R package SVARtca version 1.0.2 Implements Transmission Channel Analysis (TCA) for structural vector autoregressive (SVAR) models following the methodology of Wegner, Lieb, and Smeekes (2025) <doi:10.48550/arXiv.2405.18987>. TCA decomposes impulse response functions (IRFs) into contributions from distinct transmission channels using a systems form representation and directed acyclic graph (DAG) path analysis. Supports overlapping channels, exhaustive 3-way and 4-way decompositions via inclusion-exclusion principle. This is a parallel R implementation of the 'tca-matlab-toolbox' (<https://github.com/enweg/tca-matlab-toolbox>). Software Depends: R (>= 3.5.0) Imports: Matrix, ggplot2, rlang Suggests: testthat (>= 3.0.0), knitr, rmarkdown, vars Muhammad Alkhalaf <muhammedalkhalaf@gmail.com> Comprehensive R Archive Network (CRAN) Muhammad Alkhalaf [aut, cre] (ORCID: <https://orcid.org/0009-0002-2677-9246>), Emanuel Wegner [ctb] (Original MATLAB toolbox author), Lenard Lieb [ctb] (Original MATLAB toolbox author), Stephan Smeekes [ctb] (Original MATLAB toolbox author) MIT + file LICENSE (https://CRAN.R-project.org/package=SVARtca/LICENSE) 2026-04-08 application/tgz https://CRAN.R-project.org/package=SVARtca doi:10.32614/CRAN.package.SVARtca