Package: JM 1.5-2

JM: Joint Modeling of Longitudinal and Survival Data

Shared parameter models for the joint modeling of longitudinal and time-to-event data.

Authors:Dimitris Rizopoulos <[email protected]>

JM_1.5-2.tar.gz
JM_1.5-2.zip(r-4.5)JM_1.5-2.zip(r-4.4)JM_1.5-2.zip(r-4.3)
JM_1.5-2.tgz(r-4.4-any)JM_1.5-2.tgz(r-4.3-any)
JM_1.5-2.tar.gz(r-4.5-noble)JM_1.5-2.tar.gz(r-4.4-noble)
JM_1.5-2.tgz(r-4.4-emscripten)JM_1.5-2.tgz(r-4.3-emscripten)
JM.pdf |JM.html
JM/json (API)
NEWS

# Install 'JM' in R:
install.packages('JM', repos = c('https://drizopoulos.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/jmr

Datasets:
  • aids - Didanosine versus Zalcitabine in HIV Patients
  • aids.id - Didanosine versus Zalcitabine in HIV Patients
  • pbc2 - Mayo Clinic Primary Biliary Cirrhosis Data
  • pbc2.id - Mayo Clinic Primary Biliary Cirrhosis Data
  • prothro - Prednisone versus Placebo in Liver Cirrhosis Patients
  • prothros - Prednisone versus Placebo in Liver Cirrhosis Patients

On CRAN:

4.30 score 2 stars 106 scripts 1.9k downloads 132 mentions 26 exports 5 dependencies

Last updated 2 years agofrom:f00e607e88. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 27 2024
R-4.5-winOKSep 27 2024
R-4.5-linuxOKSep 27 2024
R-4.4-winOKSep 27 2024
R-4.4-macOKSep 27 2024
R-4.3-winOKSep 27 2024
R-4.3-macOKSep 27 2024

Exports:anova.jointModelaucJMcoef.jointModelcrLongdbsdnsdynCJMfitted.jointModelfixef.jointModelibsinsjointModelpiecewiseExp.phplot.jointModelplot.survfitJMprederrJMpredict.jointModelranef.jointModelresiduals.jointModelrocJMsimulate.jointModelsimulateJMsurvfitJMwald.strataweibull.frailtyxtable.jointModel

Dependencies:latticeMASSMatrixnlmesurvival

Readme and manuals

Help Manual

Help pageTopics
Didanosine versus Zalcitabine in HIV Patientsaids aids.id
Anova Method for Fitted Joint Modelsanova.jointModel
Time-Dependent AUCs for Joint ModelsaucJM aucJM.jointModel
Estimated Coefficients for Joint Modelscoef.jointModel fixef.jointModel
Transform Competing Risks Data in Long FormatcrLong
Derivatives and Integrals of B-splines and Natural Cubic splinesdbs dns ibs ins
A Dynamic Discrimination Index for Joint ModelsdynCJM dynCJM.jointModel
Fitted Values for Joint Modelsfitted.jointModel
Joint Modeling of Longitudinal and Time-to-Event Data in RJM-package JM
Joint Models for Longitudinal and Survival DatajointModel
Fitted jointModel ObjectjointModelObject
Mayo Clinic Primary Biliary Cirrhosis Datapbc2 pbc2.id
Proportional Hazards Models with Piecewise Constant Baseline Hazard FunctionpiecewiseExp.ph
Plot Diagnostics for Joint Modelsplot.jointModel
Plot Method for rocJM Objectsplot.rocJM
Plot Method for survfitJM Objectsplot.survfitJM
Prediction Errors for Joint ModelsprederrJM prederrJM.jointModel
Predictions for Joint Modelspredict.jointModel
Prednisone versus Placebo in Liver Cirrhosis Patientsprothro prothros
Random Effects Estimates for Joint Modelsranef.jointModel
Residuals for Joint Modelsresiduals.jointModel
Predictive Accuracy Measures for Longitudinal Markers under a Joint Modelling FrameworkrocJM rocJM.jointModel
Simulate from Joint Models.simulate.jointModel simulateJM
Summary Method for weibull.frailty Objectssummary.weibull.frailty
Prediction in Joint ModelssurvfitJM survfitJM.jointModel
Wald Test for Stratification Factorswald.strata
Weibull Model with Gamma Frailtiesweibull.frailty
xtable Method from Joint Models.xtable.jointModel