INTRIGUE
Quantify and Control Reproducibility in High-Throughput Experiments
Estimate the proportions of the null and the reproducibility and non-reproducibility of the signal group for the input data set. The Bayes factor calculation and EM (Expectation Maximization) algorithm procedures are also included.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | INTRIGUE_0.1.0.tar.gz |
74.8 KiB |
0.1.0 |
rolling linux/noble R-4.5 | INTRIGUE_0.1.0.tar.gz |
74.7 KiB |
0.1.0 |
rolling source/ R- | INTRIGUE_0.1.0.tar.gz |
39.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | INTRIGUE_0.1.0.tar.gz |
74.8 KiB |
0.1.0 |
latest linux/noble R-4.5 | INTRIGUE_0.1.0.tar.gz |
74.7 KiB |
0.1.0 |
latest source/ R- | INTRIGUE_0.1.0.tar.gz |
39.3 KiB |
0.1.0 |
2026-04-26 source/ R- | INTRIGUE_0.1.0.tar.gz |
39.3 KiB |
0.1.0 |
2026-04-23 source/ R- | INTRIGUE_0.1.0.tar.gz |
39.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | INTRIGUE_0.1.0.zip |
78.2 KiB |
0.1.0 |
2025-04-20 source/ R- | INTRIGUE_0.1.0.tar.gz |
39.3 KiB |