statisticshealtheconomics. To fix this you can add URL: https://n8thangreen.r-universe.dev/multimcm to the package DESCRIPTION file. See also theR-universe documentation.Package: multimcm 0.0.1
multimcm: Bayesian Relative Mixture Cure Modelling
Jointly models two event time distributions (e.g. time to disease progression and time to death) within a Bayesian relative survival mixture cure model framework, using the "Stan" engine called from 'R'. It extends current methods to account for the dependence between event times to leverage additional information to make better inferences and decisions.
Authors:
multimcm_0.0.1.tar.gz
multimcm_0.0.1.zip(r-4.7-any)multimcm_0.0.1.zip(r-4.6-any)multimcm_0.0.1.zip(r-4.5-any)
multimcm_0.0.1.tgz(r-4.6-any)multimcm_0.0.1.tgz(r-4.5-any)
multimcm_0.0.1.tar.gz(r-4.7-any)multimcm_0.0.1.tar.gz(r-4.6-any)
multimcm_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multimcm/json (API)
| # Install 'multimcm' in R: |
| install.packages('multimcm', repos = c('https://n8thangreen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/statisticshealtheconomics/multimcm/issues
Pkgdown/docs site:https://statisticshealtheconomics.github.io
cure-modelhierarchical-modelsstan
Last updated from:be9f760a57. Checks:4 WARNING, 4 ERROR, 1 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 430 | ||
| source / vignettes | ERROR | 406 | ||
| linux-release | WARNING | 340 | ||
| macos-release | WARNING | 369 | ||
| macos-oldrel | WARNING | 398 | ||
| windows-devel | ERROR | 291 | ||
| windows-release | ERROR | 242 | ||
| windows-oldrel | ERROR | 212 | ||
| wasm-release | OK | 171 |
Exports:.default.is_defaultbmcm_stancf_forest_cutpointcf_forest_plotcreate_stancodeplot_S_jointprecompile_bmcm_modelprep_latent_dataprep_S_joint_data
Dependencies:abindarrayhelpersbackportsbase64encbayesplotBHbitbit64bootbslibcachemcallrcheckmateclicliprcodacolourpickercommonmarkcpp11crayoncrosstalkdescdigestdistributionaldplyrDTdygraphsevaluatefarverfastmapfontawesomefsgenericsggdistggplot2ggridgesgluegridExtragtablegtoolshighrhmshtmltoolshtmlwidgetshttpuvigraphinlineisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelitedownlme4loomagrittrmarkdownMASSMatrixmatrixStatsmemoisemimeminiUIminqanlmenloptrnumDerivotelpillarpkgbuildpkgconfigplyrposteriorprettyunitsprocessxprogresspromisespspurrrquadprogQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreadrreformulasreshape2rlangrmarkdownrstanrstanarmrstantoolsS7sassscalesshinyshinyjsshinystanshinythemessourcetoolsStanHeadersstringistringrsurvivalsvUnittensorAthreejstibbletidybayestidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxtablextsyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Set default values | .default .is_default |
| bmcm_stan | bmcm_stan |
| Cure fraction forest plot using cut-point Stan output | cf_forest_cutpoint |
| Cure fraction forest plot using Stan output | cf_forest_plot |
| Geom for Kaplan-Meier ggplot | geom_kaplan_meier |
| Use single legend for grid of plots | grid_arrange_shared_legend |
| Plot survival curves for joint model and all treatments | plot.bmcm plot_S_joint |
| Precompile bmcm model | precompile_bmcm_model |
| Prepare background data | prep_bg_data |
| Prepare Stan data in latent model | prep_latent_data |
| Prepare posterior survival data for plotting | prep_S_data |
| Prepare data for survival plot | prep_S_joint_data |
| Prepare data for survival plot | prep_S_joint_data.bmcm |
| already extracted matrix | prep_S_joint_data.default |
| Default prior latent variable | default_prior_latent prep_stan_params |