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SEPA  

Segment Profile Extraction via Pattern Analysis
View on CRAN: Click here


Download and install SEPA package within the R console
Install from CRAN:
install.packages("SEPA")

Install from Github:
library("remotes")
install_github("cran/SEPA")

Install by package version:
library("remotes")
install_version("SEPA", "0.1.0")



Attach the package and use:
library("SEPA")
Maintained by
Se-Kang Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-26
Latest Update: 2026-03-26
Description:
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>.
How to cite:
Se-Kang Kim (2026). SEPA: Segment Profile Extraction via Pattern Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/SEPA. Accessed 12 Sep. 2026.
Previous versions and publish date:
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Complete documentation for SEPA
Functions, R codes and Examples using the SEPA R package
Full SEPA package functions and examples
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