rstpm2: Smooth Survival Models, Including Generalized Survival Models

Canonical link: https://rscholar.com/pkg/rstpm2

Mark Clements • Xing-Rong Liu • Benjamin Christoffersen • Paul Lambert • Lasse Hjort Jakobsen • Alessandro Gasparini • Gordon Smyth • Patrick Alken • Simon Wood • Rhys Ulerich • View description and downloads View dependencies GitHub project

2015 Published

0 Citations

10 Authors

27 Revisions

1.7.1 Version

GPL-2 License

Referenced by ⇅	Year
metaRMST: Meta-Analysis of RMSTD (Version 1.0.0)	2018
biostat3: Utility Functions, Datasets and Extended Examples for Survival Analysis (Version 0.2.3)	2018
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.31.0)	2021
fastml: Guarded Resampling Workflows for Safe and Automated Machine Learning in R (Version 0.7.6)	2024
EventPredInCure: Event Prediction Including Cured Population (Version 1.0)	2024
JointFPM: A Parametric Model for Estimating the Mean Number of Events (Version 1.3.0)	2023
TukeyGH77: Tukey g-&-h Distribution (Version 0.1.4)	2024
afthd: Accelerated Failure Time for High Dimensional Data with MCMC (Version 1.1.0)	2021
biostat3 Analysis: (Version )	0
cuRe: Parametric Cure Model Estimation (Version 1.1.1)	2020
eventPred: Event Prediction (Version 0.2.9)	2023
expertsurv: Incorporate Expert Opinion with Parametric Survival Models (Version 1.4.1)	2023
flexsurv: Flexible Parametric Survival and Multi-State Models (Version 2.3.2)	2011
marginaleffects Tests: (Version )	0
mexhaz: Mixed Effect Excess Hazard Models (Version 2.6)	2016
multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data (Version 0.8.1)	2020
rsimsum: Analysis of Simulation Studies Including Monte Carlo Error (Version 0.13.0)	2018
simsurv: Simulate Survival Data (Version 1.0.1)	2017
survalis: Interpretable Survival Machine Learning Framework (Version 0.7.1)	2026
tram: Transformation Models (Version 1.3-2)	2018

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