ncodeR
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A powerful tool for transforming raw data into meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is designed specifically for working with big data: large document collections, logfiles, and other text data.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0.1 |
rolling linux/jammy R-4.5 | ncodeR_0.2.0.1.tar.gz |
384.0 KiB |
0.2.0.1 |
rolling linux/noble R-4.5 | ncodeR_0.2.0.1.tar.gz |
383.9 KiB |
0.2.0.1 |
rolling source/ R- | ncodeR_0.2.0.1.tar.gz |
166.3 KiB |
0.2.0.1 |
latest linux/jammy R-4.5 | ncodeR_0.2.0.1.tar.gz |
384.0 KiB |
0.2.0.1 |
latest linux/noble R-4.5 | ncodeR_0.2.0.1.tar.gz |
383.9 KiB |
0.2.0.1 |
latest source/ R- | ncodeR_0.2.0.1.tar.gz |
166.3 KiB |
0.2.0.1 |
2026-04-26 source/ R- | ncodeR_0.2.0.1.tar.gz |
166.3 KiB |
0.2.0.1 |
2026-04-23 source/ R- | ncodeR_0.2.0.1.tar.gz |
166.3 KiB |
0.2.0.1 |
2026-04-09 windows/windows R-4.5 | ncodeR_0.2.0.1.zip |
382.3 KiB |
0.2.0.1 |
2025-04-20 source/ R- | ncodeR_0.2.0.1.tar.gz |
166.3 KiB |