Package: JMbayes2 0.6-0

Dimitris Rizopoulos

JMbayes2: Extended Joint Models for Longitudinal and Time-to-Event Data

Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).

Authors:Dimitris Rizopoulos [aut, cre], Pedro Miranda-Afonso [aut], Grigorios Papageorgiou [aut]

JMbayes2_0.6-0.tar.gz
JMbayes2_0.6-0.tar.gz(r-4.7-arm64)JMbayes2_0.6-0.tar.gz(r-4.7-x86_64)JMbayes2_0.6-0.tar.gz(r-4.6-arm64)JMbayes2_0.6-0.tar.gz(r-4.6-x86_64)
JMbayes2_0.6-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
JMbayes2/json (API)
NEWS

# Install 'JMbayes2' in R:
install.packages('JMbayes2', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/drizopoulos/jmbayes2/issues

Pkgdown/docs site:https://drizopoulos.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
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:

Conda:

openblascppopenmp

4.36 score 2 packages 368 scripts 1.0k downloads 51 exports 31 dependencies

Last updated from:a01d2f92f3. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK186
linux-devel-x86_64OK187
source / vignettesOK282
linux-release-arm64OK188
linux-release-x86_64OK201
wasm-releaseOK153

Exports:accelerationareacalibration_metricscalibration_plotcoefcoefscompare_jmconsensuscoxphcreate_foldscrisk_setupcumuplotDeltadensplotDexpDexpitfamilyfixefgelman_diagggdensityplotggtraceplotjmlmemixed_modelmodel.framemodel.matrixpoly2poly3poly4ppcheckranefrc_setupslicerslopetermstraceplottvtvAUCtvBriertvEPCEtvROCvabsvaluevariogramvelocityvexpvexpitvlogvlog10vlog2vsqrt

Dependencies:abindclicodacpp11farverggplot2GLMMadaptivegluegridExtragtableisobandlabelinglatticelifecycleMASSMatrixmatrixStatsnlmeparallellyR6RColorBrewerRcppRcppArmadillorlangS7scalessurvC1survivalvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Time-Dependent Predictive Accuracy Measures for Joint Modelscalibration_metrics calibration_plot calibration_plot.jm create_folds tvAUC tvAUC.jm tvAUC.tvROC tvBrier tvBrier.jm tvEPCE tvROC tvROC.jm
Didanosine versus Zalcitabine in HIV Patientsaids aids.id
Consensus Combination of Posterior Draws from Joint Model Fitsconsensus
Transform Competing Risks Data in Long Formatcrisk_setup
Joint Models for Longitudinal and Time-to-Event Dataacceleration area coefs Delta Dexp Dexpit jm poly2 poly3 poly4 slope tv vabs value velocity vexp vexpit vlog vlog10 vlog2 vsqrt
Various Methods for Functions from the _coda_ Packagecoda_methods.jm cumuplot cumuplot.jm densplot densplot.jm gelman_diag gelman_diag.jm ggdensityplot ggdensityplot.jm ggtraceplot ggtraceplot.jm traceplot traceplot.jm
Various Methods for Standard Genericscoef coef.jm compare_jm family family.jm fixef fixef.jm get_links get_links.jm methods.jm model.frame model.frame.jm model.matrix model.matrix.jm ranef ranef.jm terms terms.jm
Extended Joint Models for Longitudinal and Time-to-Event DataJMbayes2-package JMbayes2
Slice-aware model fitting genericscoxph lme mixed_model
Mayo Clinic Primary Biliary Cirrhosis Datapbc2 pbc2.id
Posterior Predictive Checks for Joint Modelsppcheck
Predictions from Joint Modelsplot.predict_jm predict.jm predict.jmList
Prednisone versus Placebo in Liver Cirrhosis Patientsprothro prothros
Combine Recurring and Terminal Event Data in Long Formatrc_setup
Split Longitudinal and Survival Data into Subject-level Samplesslicer
Variogram for Longitudinal Datavariogram