Package index

All functions

tvROC() tvAUC() calibration_plot() calibration_metrics() tvBrier() tvEPCE() create_folds()

Time-Dependent Predictive Accuracy Measures for Joint Models

aids aids.id

Didanosine versus Zalcitabine in HIV Patients

traceplot() ggtraceplot() gelman_diag() densplot() ggdensityplot() cumuplot()

Various Methods for Functions from the coda Package

consensus()

Consensus Combination of Posterior Draws from Joint Model Fits

crisk_setup()

Transform Competing Risks Data in Long Format

jm() value() coefs() slope() velocity() acceleration() area() Delta() vexpit() Dexpit() vexp() Dexp() vabs() vlog() vlog2() vlog10() vsqrt() poly2() poly3() poly4() tv()

Joint Models for Longitudinal and Time-to-Event Data

JMbayes2-package JMbayes2

Extended Joint Models for Longitudinal and Time-to-Event Data

coef() fixef() ranef() terms() model.frame() model.matrix() family() compare_jm()

Various Methods for Standard Generics

pbc2 pbc2.id

Mayo Clinic Primary Biliary Cirrhosis Data

ppcheck()

Posterior Predictive Checks for Joint Models

predict(<jm>) plot(<predict_jm>) predict(<jmList>)

Predictions from Joint Models

prothro prothros

Prednisone versus Placebo in Liver Cirrhosis Patients

rc_setup()

Combine Recurring and Terminal Event Data in Long Format

lme() coxph() mixed_model()

Slice-aware model fitting generics

slicer()

Split Longitudinal and Survival Data into Subject-level Samples

variogram()

Variogram for Longitudinal Data