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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | SEPA_0.1.0.tar.gz |
1.7 MiB |
0.1.0 |
rolling linux/noble R-4.5 | SEPA_0.1.0.tar.gz |
1.7 MiB |
0.1.0 |
rolling source/ R- | SEPA_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
latest linux/jammy R-4.5 | SEPA_0.1.0.tar.gz |
1.7 MiB |
0.1.0 |
latest linux/noble R-4.5 | SEPA_0.1.0.tar.gz |
1.7 MiB |
0.1.0 |
latest source/ R- | SEPA_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
2026-04-26 source/ R- | SEPA_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
2026-04-23 source/ R- | SEPA_0.1.0.tar.gz |
1.6 MiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | SEPA_0.1.0.zip |
1.7 MiB |