iclogcondist
Log-Concave Distribution Estimation with Interval-Censored Data
We consider the non-parametric maximum likelihood estimation of the underlying distribution function, assuming log-concavity, based on mixed-case interval-censored data. The algorithm implemented is base on Chi Wing Chu, Hok Kan Ling and Chaoyu Yuan (2024, <doi:10.48550/arXiv.2411.19878>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling source/ R- | iclogcondist_1.0.1.tar.gz |
29.3 KiB |
1.0.1 |
rolling linux/jammy R-4.5 | iclogcondist_1.0.1.tar.gz |
165.5 KiB |
1.0.1 |
rolling linux/noble R-4.5 | iclogcondist_1.0.1.tar.gz |
166.4 KiB |
1.0.1 |
latest source/ R- | iclogcondist_1.0.1.tar.gz |
29.3 KiB |
1.0.1 |
latest linux/jammy R-4.5 | iclogcondist_1.0.1.tar.gz |
165.5 KiB |
1.0.1 |
latest linux/noble R-4.5 | iclogcondist_1.0.1.tar.gz |
166.4 KiB |
1.0.1 |
2026-04-26 source/ R- | iclogcondist_1.0.1.tar.gz |
29.3 KiB |
1.0.1 |
2026-04-23 source/ R- | iclogcondist_1.0.1.tar.gz |
29.3 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | iclogcondist_1.0.1.zip |
486.1 KiB |
1.0.1 |
2025-04-20 source/ R- | iclogcondist_1.0.1.tar.gz |
29.3 KiB |