Package: HQM 0.1.4
Dimitrios Bagkavos
HQM: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Provides a nonparametric smoothed kernel density estimator for the future conditional hazard when time-dependent covariates are present. It also provides pointwise and uniform confidence bands and a bandwidth selection.
Authors:
HQM_0.1.4.tar.gz
HQM_0.1.4.tar.gz(r-4.5-noble)HQM_0.1.4.tar.gz(r-4.4-noble)
HQM_0.1.4.tgz(r-4.4-emscripten)HQM_0.1.4.tgz(r-4.3-emscripten)
HQM.pdf |HQM.html✨
HQM/json (API)
# Install 'HQM' in R: |
install.packages('HQM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- pbc2 - Mayo Clinic Primary Biliary Cirrhosis Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 13 days agofrom:b1717a1612. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 13 2024 |
R-4.5-linux | OK | Dec 13 2024 |
Exports:auc.hqmb_selectionb_selection_prep_gbs.hqmConf_bandsdataset_splitdijEpang_xtget_alphaget_h_xget_h_xllh_xth_xt_vech_xtllK_bK_b_matlin_interpolatellK_bmake_Nmake_Nimake_sfmake_Ymake_Yiprep_bootprep_cvQ1R_Ksn.0sn.1sn.2to_idxK_b
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacedata.tablediagramdigestdoParallelevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applyggplot2globalsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsJMjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemultcompmunsellmvtnormnlmennetnumDerivparallellypecpillarpkgconfigplotrixpolsplineprodlimprogressrPublishquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenriskRegressionrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletimeregtimeROCtinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo