EBCHS
An Empirical Bayes Method for Chi-Squared Data
We provide the main R functions to compute the posterior interval for the noncentrality parameter of the chi-squared distribution. The skewness estimate of the posterior distribution is also available to improve the coverage rate of posterior intervals. Details can be found in Du and Hu (2022) <doi:10.1080/01621459.2020.1777137>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | EBCHS_0.1.1.tar.gz |
89.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | EBCHS_0.1.1.tar.gz |
89.2 KiB |
0.1.1 |
rolling source/ R- | EBCHS_0.1.1.tar.gz |
48.6 KiB |
0.1.1 |
latest linux/jammy R-4.5 | EBCHS_0.1.1.tar.gz |
89.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | EBCHS_0.1.1.tar.gz |
89.2 KiB |
0.1.1 |
latest source/ R- | EBCHS_0.1.1.tar.gz |
48.6 KiB |
0.1.1 |
2026-04-26 source/ R- | EBCHS_0.1.1.tar.gz |
48.6 KiB |
0.1.1 |
2026-04-23 source/ R- | EBCHS_0.1.1.tar.gz |
48.6 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | EBCHS_0.1.1.zip |
91.9 KiB |
0.1.0 |
2025-04-20 source/ R- | EBCHS_0.1.0.tar.gz |
16.7 KiB |