R Package Scholar
239,044
Referenced by ⇅ Year
pcoxtime: Penalized Cox Proportional Hazard Model for Time-Dependent Covariates (Version 1.0.4)

2021
CSCNet: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty (Version 0.1.4)

2022
Publish: Format Output of Various Routines in a Suitable Way for Reports and Publication (Version 2025.07.24)

2017
adjustedCurves: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions (Version 0.11.3)

2022
contsurvplot: Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome (Version 0.2.2)

2022
pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis (Version 2025.06.24)

2008
pencal: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival (Version 2.3.0)

2020
BayesSurvive: Bayesian Survival Models for High-Dimensional Data (Version 0.1.0)

2024
BuyseTest: Generalized Pairwise Comparisons (Version 3.3.4)

2016
CalibrationCurves: Calibration Performance (Version 3.0.0)

2022
GPTCM Priors: (Version )

0
Landmarking: Analysis using Landmark Models (Version 1.0.0)

2022
adjustedCurves Functions: (Version )

0
burgle: 'Burgle': Stealing the Necessary Parts of Model Objects (Version 0.1.2)

2024
contsurvplot Outcome: (Version )

0
jsmodule: 'RStudio' Addins and 'Shiny' Modules for Medical Research (Version 2.0.1)

2019
lavaSearch2: Tools for Model Specification in the Latent Variable Framework (Version 2.0.3)

2018
mets: Analysis of Multivariate Event Times (Version 1.3.9)

2012
pec Analysis: (Version )

0
psbcSpeedUp: Penalized Semiparametric Bayesian Cox Models (Version 2.1.0)

2023
spect: Survival Prediction Ensemble Classification Tool (Version 1.0)

2025
targeted: Targeted Inference (Version 0.7.1)

2020
wally: The Wally Calibration Plot for Risk Prediction Models (Version 1.0.10)

2017

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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