SEPA: Segment Profile Extraction via Pattern Analysis

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>.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	boot (≥ 1.3-28), parallel
Suggests:	writexl (≥ 1.4.0), knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-03-26
DOI:	10.32614/CRAN.package.SEPA
Author:	Se-Kang Kim [aut, cre]
Maintainer:	Se-Kang Kim <se-kang.kim at bcm.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	SEPA results

Documentation:

Reference manual:	SEPA.html , SEPA.pdf
Vignettes:	Segment Profile Extraction via Pattern Analysis: A Workflow Guide (source, R code)

Downloads:

Package source:	SEPA_0.1.0.tar.gz
Windows binaries:	r-devel: SEPA_0.1.0.zip, r-release: SEPA_0.1.0.zip, r-oldrel: SEPA_0.1.0.zip
macOS binaries:	r-release (arm64): SEPA_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): SEPA_0.1.0.tgz, r-oldrel (x86_64): SEPA_0.1.0.tgz

Linking:

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