prodlim: Product-Limit Estimation for Censored Event History Analysis

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

Thomas A. Gerds • View description and downloads View dependencies GitHub project

2008 Published

0 Citations

1 Authors

24 Revisions

2025.04.28 Version

GPL-2 License

Referenced by ⇅	Year
Cprob: The Conditional Probability Function of a Competing Event (Version 1.4.1)	2009
pcoxtime: Penalized Cox Proportional Hazard Model for Time-Dependent Covariates (Version 1.0.4)	2021
SpNetPrep: Linear Network Preprocessing for Spatial Statistics (Version 1.2)	2018
LTRCforests: Ensemble Methods for Survival Data with Time-Varying Covariates (Version 0.7.0)	2020
CSCNet: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty (Version 0.1.4)	2022
GoodFibes: Detection and Reconstruction of Muscle Fibers from diceCT Image Data (Version 0.1.12)	2023
OSTE: Optimal Survival Trees Ensemble (Version 1.0)	2021
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
ggESDA: Exploratory Symbolic Data Analysis with 'ggplot2' (Version 0.2.0)	2022
momentuHMM: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models (Version 1.5.8)	2017
multimark: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks (Version 2.1.7)	2015
pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis (Version 2025.06.24)	2008
randomForestSRC: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) (Version 3.5.0)	2012
recurrentpseudo: Creates Pseudo-Observations and Analysis for Recurrent Event Data (Version 1.0.0)	2022
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2025.09.17)	2011
BinaryDosage: Creates, Merges, and Reads Binary Dosage Files (Version 1.0.0)	2020
GxEScanR: Run GWAS/GWEIS Scans Using Binary Dosage Files (Version 2.0.2)	2020
CytoProfile: Cytokine Profiling Analysis Tool (Version 0.2.3)	2025
BuyseTest: Generalized Pairwise Comparisons (Version 3.3.4)	2016
DynForest: Random Forest with Multivariate Longitudinal Predictors (Version 1.2.0)	2022
Ecfun: Functions for 'Ecdat' (Version 0.4.0)	2014
FSinR: Feature Selection in R (Version 2.0.10)	2019
GoodFibes Data: (Version )	0
Landmarking: Analysis using Landmark Models (Version 1.0.0)	2022
SmoothHazard: Estimation of Smooth Hazard Models for Interval-Censored Data (Version 2025.07.24)	2013
SuperRanker: Sequential Rank Agreement (Version 1.2.1)	2016
adjustedCurves Functions: (Version )	0
bnnSurvival: Bagged k-Nearest Neighbors Survival Prediction (Version 0.1.5)	2016
censored: 'parsnip' Engines for Survival Models (Version 0.3.3)	2022
eventglm: Regression Models for Event History Outcomes (Version 1.4.5)	2020
factorEx: Design and Analysis for Factorial Experiments (Version 1.1.0)	2025
icmstate: Interval Censored Multi-State Models (Version 0.2.0)	2024
ipred: Improved Predictors (Version 0.9-15)	2002
mets: Analysis of Multivariate Event Times (Version 1.3.9)	2012
mlt.docreg: Most Likely Transformations: Documentation and Regression Tests (Version 1.1-12)	2016
multimark Marks: (Version )	0
obliqueRSF: Oblique Random Forests for Right-Censored Time-to-Event Data (Version 0.1.2)	2018
parsnip: A Common API to Modeling and Analysis Functions (Version 1.4.1)	2018
pec Analysis: (Version )	0
recurrentpseudo Data: (Version )	0
sbm: Stochastic Blockmodels (Version 0.4.7)	2020
simIDM: Simulating Oncology Trials using an Illness-Death Model (Version 0.1.0)	2023
snfa: Smooth Non-Parametric Frontier Analysis (Version 0.0.1)	2018
timeEL: Time to Event Analysis via Empirical Likelihood Inference (Version 0.9.1)	2024
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.