Open-source software

The survival-regression engine — multilevel mixed-effects models, ten baseline families, cure and relative-survival models, and time-dependent effects under one syntax.

Convenience wrapper for fitting parametric and semi-parametric survival models with merlin, optionally across multiple timescales.

Bayesian flexible survival models built on the merlin engine. The Stata package is available now; an R implementation with full posterior inference via the No-U-Turn Sampler is in development.

Multi-state and competing-risks models on top of merlin and morgana — transition probabilities, length of stay, restricted mean time in state, and health-economic outputs (QALYs, costs, ICERs, CEACs). The successor to multistate; in active development in R and Stata.

Flexible parametric multi-state survival modelling in Stata — transition probabilities, length of stay, and restricted mean times in state. pendragon's predecessor; still available while pendragon reaches parity, and its data-prep tools (msset, msaj) are reused by pendragon.

Survival-data simulation — standard, flexible-parametric, and user-defined hazards, with competing-risks and multi-state structures. The cross-ecosystem successor to survsim, under one name in R and Stata; in active development.

Simulating survival data — standard, flexible-parametric, and user-defined hazards, with competing-risks and multi-state structures. avalon's mature predecessor; still available on SSC while avalon reaches parity.

Validation for survival prediction models — discrimination, calibration and decision-curve utility, for single-event, competing-risks and multi-state outcomes. Takes predictions as data, so it evaluates a model fitted in any software; in active development in R and Stata.

Stacked-probability plots and transition probabilities for msm multi-state models.

Simulating stepped-wedge trials with and without informative dropout.

Standardised survival probabilities and hierarchical contrasts — an R port of the Stata stdmest.