R Package Scholar
26,502
Referenced by ⇅ Year
L1mstate: L1-Regularized Multi-State Models (Version 1.0.1)

2020
Epi: Statistical Analysis in Epidemiology (Version 2.56)

2005
GFDrmtl: Multiple RMTL-Based Tests for Competing Risks Data in General Factorial Designs (Version 0.1.0)

2024
Landmarking: Analysis using Landmark Models (Version 1.0.0)

2022
OptimalTiming: Optimal Timing Identification (Version 0.1.0)

2017
PScr: Estimation for the Power Series Cure Rate Model (Version 1.1)

2022
calibmsm: Calibration Plots for the Transition Probabilities from Multistate Models (Version 1.1.1)

2023
cohorttools: Cohort Data Analyses (Version 0.1.6)

2019
dynpred: Companion Package to "Dynamic Prediction in Clinical Survival Analysis" (Version 0.1.2)

2011
ebmstate: Empirical Bayes Multi-State Cox Model (Version 0.1.5)

2020
flexsurv: Flexible Parametric Survival and Multi-State Models (Version 2.3.2)

2011
hesim: Health Economic Simulation Modeling and Decision Analysis (Version 0.5.5)

2017
icmstate: (Version )

0
markovMSM: Methods for Checking the Markov Condition in Multi-State Survival Data (Version 0.1.3)

2021
maxcombo: The Group Sequential Max-Combo Test for Comparing Survival Curves (Version 1.0)

2020
msm: Multi-State Markov and Hidden Markov Models in Continuous Time (Version 1.8.1)

2002
popEpi: Functions for Epidemiological Analysis using Population Data (Version 0.4.12)

2015
randomizeR: Randomization for Clinical Trials (Version 3.0.2)

2015
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)

2011
rstpm2: Smooth Survival Models, Including Generalized Survival Models (Version 1.6.5)

2015
simIDM: Simulating Oncology Trials using an Illness-Death Model (Version 0.1.0)

2023
survCurve: Plots Survival Curves Element by Element (Version 1.0)

2020
survivalVignettes: Survival Analysis Vignettes and Optional Datasets (Version 0.1.6)

2024

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.

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