Package: JMbdirect 0.1.1
JMbdirect: Joint Model for Longitudinal and Multiple Time to Events Data
Provides model fitting, prediction, and plotting for joint models of longitudinal and multiple time-to-event data, including methods from Rizopoulos (2012) <doi:10.1201/b12208>. Useful for handling complex survival and longitudinal data in clinical research.
Authors:
JMbdirect_0.1.1.tar.gz
JMbdirect_0.1.1.zip(r-4.7)JMbdirect_0.1.1.zip(r-4.6)JMbdirect_0.1.1.zip(r-4.5)
JMbdirect_0.1.1.tgz(r-4.6-any)JMbdirect_0.1.1.tgz(r-4.5-any)
JMbdirect_0.1.1.tar.gz(r-4.7-any)JMbdirect_0.1.1.tar.gz(r-4.6-any)
JMbdirect_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
JMbdirect/json (API)
| # Install 'JMbdirect' in R: |
| install.packages('JMbdirect', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:fb5109bab1. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 351 | ||
| source / vignettes | OK | 265 | ||
| linux-release-x86_64 | OK | 346 | ||
| macos-release-arm64 | OK | 177 | ||
| macos-oldrel-arm64 | OK | 258 | ||
| windows-devel | OK | 315 | ||
| windows-release | OK | 293 | ||
| windows-oldrel | OK | 247 | ||
| wasm-release | OK | 178 |
Exports:bootciJMCSjmbBjmcsBjmrmlBjmstB
Dependencies:abindbackportsbase64encbayesplotBHbootbslibcachemcallrcaretcheckmateclasscliclockclustercmprskcobscodacodetoolscolorspacecolourpickercommonmarkcpp11crosstalkdata.tabledescdiagramdigestdistributionaldoParalleldplyrDTdygraphse1071evaluatefarverFastJMfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2ggridgesGLMMadaptiveglmnetglobalsgluegowergridExtragtablegtoolshardhathighrHmischtmlTablehtmltoolshtmlwidgetshttpuvigraphinlineipredisobanditeratorsJMbayes2jmBIGjoineRMLjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalazyevallifecyclelistenvlitedownlme4loolubridatemagrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmemoisemetsmimeminiUIminqaModelMetricsmultcompmvtnormnlmenloptrnnetnumDerivotelparallellypecpillarpkgbuildpkgconfigplotrixplyrpolsplineposteriorpROCprocessxprodlimprogressrpromisesproxypsPublishpurrrquantregQuickJSRR6randtoolboxrangerrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackrecipesreformulasreshape2riskRegressionrlangrmarkdownrmsrngWELLrpartrstanrstanarmrstantoolsrstudioapiS7sandwichsassscalesshapeshinyshinyjsshinystanshinythemessourcetoolsSparseMsparsevctrsSQUAREMStanHeadersstatmodstringistringrsurvC1survivaltensorATH.datathreejstibbletidyrtidyselecttimechangetimeDatetimeregtinytextzdbutf8vctrsviridisLitewithrxfunxtablextsyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Function for bootstrapped confidence interval | bootciJMCS |
| Joint model for Bidirectional survival data using 'JMbayes2' | jmbB |
| Joint model for Bidirectional survival data using 'FastJM' | jmcsB |
| Joint model for Bidirectional survival data using 'joineRML' | jmrmlB |
| Joint model for Bidirectional survival data using 'rstanarm' | jmstB |
| longitudinal- survival dataset | new_long2 |
| survival data | new_surv2 |
| Prediction plot from 'jmbB()' | plot.jmbB |
| Prediction plot from 'jmcsB()' | plot.jmcsB |
| Prediction plot from 'jmrmlB()' | plot.jmrmlB |
| Prediction plot from 'jmstB()' | plot.jmstB |
| predict.jmbB | predict.jmbB |
| predict.jmcsB | predict.jmcsB |
| predict.jmrmlB | predict.jmrmlB |
| predict.jmstB | predict.jmstB |
| print. | print.jmbB |
| print. | print.jmcsB |
| print. | print.jmrmlB |
| print. | print.jmstB |
