Package: jmBIG 0.1.2

jmBIG: Joint Longitudinal and Survival Model for Big Data

Provides analysis tools for big data where the sample size is very large. It offers a suite of functions for fitting and predicting joint models, which allow for the simultaneous analysis of longitudinal and time-to-event data. This statistical methodology is particularly useful in medical research where there is often interest in understanding the relationship between a longitudinal biomarker and a clinical outcome, such as survival or disease progression. This can be particularly useful in a clinical setting where it is important to be able to predict how a patient's health status may change over time. Overall, this package provides a comprehensive set of tools for joint modeling of BIG data obtained as survival and longitudinal outcomes with both Bayesian and non-Bayesian approaches. Its versatility and flexibility make it a valuable resource for researchers in many different fields, particularly in the medical and health sciences.

Authors:Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]

jmBIG_0.1.2.tar.gz
jmBIG_0.1.2.zip(r-4.5)jmBIG_0.1.2.zip(r-4.4)jmBIG_0.1.2.zip(r-4.3)
jmBIG_0.1.2.tgz(r-4.4-any)jmBIG_0.1.2.tgz(r-4.3-any)
jmBIG_0.1.2.tar.gz(r-4.5-noble)jmBIG_0.1.2.tar.gz(r-4.4-noble)
jmBIG_0.1.2.tgz(r-4.4-emscripten)jmBIG_0.1.2.tgz(r-4.3-emscripten)
jmBIG.pdf |jmBIG.html
jmBIG/json (API)

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 202 downloads 12 exports 184 dependencies

Last updated 8 months agofrom:8a9a8fefc4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:cisurvfitJMCSjmbayesBigjmcsBigjmstanBigjoinRMLBigplot_cisurvfitJMCSpostSurvfitpostTrajpredJMbayespredJRMLprintsurvfitJMCS

Dependencies:abindbackportsbase64encbayesplotBHbootbslibcachemcallrcaretcheckmateclasscliclockclustercmprskcobscodacodetoolscolorspacecolourpickercommonmarkcpp11crayoncrosstalkdata.tabledescdiagramdigestdistributionaldoParalleldplyrDTdygraphse1071evaluatefansifarverFastJMfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2ggridgesGLMMadaptiveglobalsgluegowergridExtragtablegtoolshardhathighrHmischtmlTablehtmltoolshtmlwidgetshttpuvigraphinlineipredisobanditeratorsJMbayes2joineRMLjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalazyevallifecyclelistenvlme4loolubridatemagrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmemoisemetsmgcvmimeminiUIminqaModelMetricsmultcompmunsellmvtnormnlmenloptrnnetnumDerivparallellypecpillarpkgbuildpkgconfigplotrixplyrpolsplineposteriorpROCprocessxprodlimprogressrpromisesproxypsPublishpurrrquantregQuickJSRR6randtoolboxrangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrecipesreshape2riskRegressionrlangrmarkdownrmsrngWELLrpartrstanrstanarmrstantoolsrstudioapisandwichsassscalesshapeshinyshinyjsshinystanshinythemessourcetoolsSparseMSQUAREMStanHeadersstatmodstringistringrsurvivaltensorATH.datathreejstibbletidyrtidyselecttimechangetimeDatetimeregtimeROCtinytextzdbutf8vctrsviridisviridisLitewithrxfunxtablextsyamlzoo