Segment Profile Extraction via Pattern Analysis R package SEPA version 0.1.0 Implements the Segment Profile Extraction via Pattern Analysis method for row-mean-centered multivariate data. Core capabilities include SVD-based row-isometric biplot construction, bias-corrected and accelerated, and percentile bootstrap confidence intervals for domain coordinates and per-person direction cosines, Procrustes alignment of bootstrap replicates across planes, parallel analysis for dimensionality selection, and segment profile reconstruction in planes defined by pairs of singular dimensions. A synthetic Woodcock-Johnson IV look-alike dataset is provided for examples and testing. The method is described in Kim and Grochowalski (2019) <doi:10.1007/s00357-018-9277-7>. Software Depends: R (>= 4.1.0) Imports: boot (>= 1.3-28), parallel Suggests: writexl (>= 1.4.0), knitr, rmarkdown, testthat (>= 3.0.0) Se-Kang Kim <se-kang.kim@bcm.edu> Comprehensive R Archive Network (CRAN) Se-Kang Kim [aut, cre] (ORCID: <https://orcid.org/0000-0003-0928-3396>) MIT + file LICENSE (https://CRAN.R-project.org/package=SEPA/LICENSE) 2026-03-26 application/tgz https://CRAN.R-project.org/package=SEPA doi:10.32614/CRAN.package.SEPA en-US