censCov
Linear Regression with a Randomly Censored Covariate
Implementations of threshold regression approaches for linear regression models with a covariate subject to random censoring, including deletion threshold regression and completion threshold regression. Reverse survival regression, which flip the role of response variable and the covariate, is also considered.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0-0 |
rolling linux/jammy R-4.5 | censCov_1.0-0.tar.gz |
47.4 KiB |
1.0-0 |
rolling linux/noble R-4.5 | censCov_1.0-0.tar.gz |
47.3 KiB |
1.0-0 |
rolling source/ R- | censCov_1.0-0.tar.gz |
6.9 KiB |
1.0-0 |
latest linux/jammy R-4.5 | censCov_1.0-0.tar.gz |
47.4 KiB |
1.0-0 |
latest linux/noble R-4.5 | censCov_1.0-0.tar.gz |
47.3 KiB |
1.0-0 |
latest source/ R- | censCov_1.0-0.tar.gz |
6.9 KiB |
1.0-0 |
2026-04-26 source/ R- | censCov_1.0-0.tar.gz |
6.9 KiB |
1.0-0 |
2026-04-23 source/ R- | censCov_1.0-0.tar.gz |
6.9 KiB |
1.0-0 |
2026-04-09 windows/windows R-4.5 | censCov_1.0-0.zip |
49.6 KiB |
1.0-0 |
2025-04-20 source/ R- | censCov_1.0-0.tar.gz |
6.9 KiB |