cpam
Changepoint Additive Models for Time Series Omics Data
Provides a comprehensive framework for time series omics analysis, integrating changepoint detection, smooth and shape-constrained trends, and uncertainty quantification. It supports gene- and transcript-level inferences, p-value aggregation for improved power, and both case-only and case-control designs. It includes an interactive 'shiny' interface. The methods are described in Yates et al. (2024) <doi:10.1101/2024.12.22.630003>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling source/ R- | cpam_0.2.1.tar.gz |
2.4 MiB |
0.2.1 |
rolling linux/jammy R-4.5 | cpam_0.2.1.tar.gz |
2.4 MiB |
0.2.1 |
rolling linux/noble R-4.5 | cpam_0.2.1.tar.gz |
2.4 MiB |
0.2.1 |
latest source/ R- | cpam_0.2.1.tar.gz |
2.4 MiB |
0.2.1 |
latest linux/jammy R-4.5 | cpam_0.2.1.tar.gz |
2.4 MiB |
0.2.1 |
latest linux/noble R-4.5 | cpam_0.2.1.tar.gz |
2.4 MiB |
0.2.1 |
2026-04-26 source/ R- | cpam_0.2.1.tar.gz |
2.4 MiB |
0.2.1 |
2026-04-23 source/ R- | cpam_0.2.1.tar.gz |
2.4 MiB |
0.1.3 |
2025-04-20 source/ R- | cpam_0.1.3.tar.gz |
2.4 MiB |