rpsurv
Fast Royston-Parmar Flexible Parametric Survival Models
Fits Royston-Parmar flexible parametric survival models (Royston and Parmar, 2002) <doi:10.1002/sim.1203> on the log cumulative hazard, odds, and probit scales, with time-varying (non-proportional) covariate effects via restricted cubic splines in log time. The likelihood and its analytic gradient are evaluated in C++ with 'RcppParallel', giving large speedups over pure-R implementations for large datasets.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.7.1 |
rolling linux/jammy R-4.5 | rpsurv_0.7.1.tar.gz |
323.8 KiB |
0.7.1 |
rolling linux/noble R-4.5 | rpsurv_0.7.1.tar.gz |
325.2 KiB |
0.7.1 |
rolling source/ R- | rpsurv_0.7.1.tar.gz |
319.6 KiB |
0.7.1 |
latest linux/jammy R-4.5 | rpsurv_0.7.1.tar.gz |
323.8 KiB |
0.7.1 |
latest linux/noble R-4.5 | rpsurv_0.7.1.tar.gz |
325.2 KiB |
0.7.1 |
latest source/ R- | rpsurv_0.7.1.tar.gz |
319.6 KiB |
0.7.1 |
2026-04-23 source/ R- | rpsurv_0.7.1.tar.gz |
0 B |