Package: sMSROC 0.1.2

Susana Diaz-Coto

sMSROC: Assessment of Diagnostic and Prognostic Markers

Provides estimations of the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) based on the two-stages mixed-subjects ROC curve estimator (Diaz-Coto et al. (2020) <doi:10.1515/ijb-2019-0097> and Diaz-Coto et al. (2020) <doi:10.1080/00949655.2020.1736071>).

Authors:Susana Diaz-Coto [aut], Susana Diaz-Coto [cre]

sMSROC_0.1.2.tar.gz
sMSROC_0.1.2.tar.gz(r-4.5-noble)sMSROC_0.1.2.tar.gz(r-4.4-noble)
sMSROC_0.1.2.tgz(r-4.4-emscripten)sMSROC_0.1.2.tgz(r-4.3-emscripten)
sMSROC.pdf |sMSROC.html✨
sMSROC/json (API)

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

Peer review:

Datasets:

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

31 exports 0.09 score 113 dependencies 5 scripts 175 downloads

Last updated 10 months agofrom:1ed4cc6ea2. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-linuxNOTESep 03 2024

Exports:auc_ci_bootauc_ci_emprauc_ci_nvarcheck_ci_clcheck_conf_intcheck_gridcheck_marker_binoutcheck_marker_timeiccheck_marker_timerccheck_methcheck_nbootscheck_ncpuscheck_timcheck_type_outcomecompute_ROCconf_int_printevol_aucexplore_plotexplore_tablepred_model_binoutpred_model_emppred_model_timeicpred_model_timercprint.sMSROCprobs_predsMS_binoutsMS_timeicsMS_timercsMSROCsMSROC_plotvariance_probs

Dependencies:askpassbackportsbase64encbslibcachemcheckmatecliclustercodacodetoolscolorspacecommonmarkcpp11crayondata.tabledigestevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverforeachforeignFormulafsgdtoolsggplot2gluegridExtragridSVGgtablehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvicenRegisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimeMLEcensmultcompmunsellmvtnormnlmennetofficeropensslpillarpkgconfigplotROCplyrpolsplinepromisesquantregR6raggrappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshinysourcetoolsSparseMstringistringrsurvivalsyssystemfontstextshapingTH.datathregItibbletinytexutf8uuidvctrsviridisviridisLitewithrxfunXMLxml2xtableyamlzipzoo

Readme and manuals

Help Manual

Help pageTopics
Confidence intervals for the AUC (bootstrap)auc_ci_boot
Confidence intervals for the AUC (empirical variance estimation)auc_ci_empr
Confidence intervals for the AUC (theoretical variance estimation)auc_ci_nvar
Check confidence level for AUC's confidence intervalscheck_ci_cl
Checks for parameters to compute the confidence intervals for the AUCcheck_conf_int
Check gridcheck_grid
Check of prognosis scenarios under interval censorshipcheck_marker_timeic
Checks of diagnosis scenarioscheck_marker_binout
Check of prognosis scenarios under right censorshipcheck_marker_timerc
Check the method for estimating the predictive modelcheck_meth
Check number of bootstrap samplescheck_nboots
Check number of CPUscheck_ncpus
Check timcheck_tim
Check the type of scenario (diagnosis/prognosis)check_type_outcome
Weighted empirical ROC curve estimatorcompute_ROC
AUC and confidence intervalsconf_int_print
Diabetes datasetdiabet
Evolution of the AUCsevol_auc
Graphical exploratory data analysisexplore_plot
Exploratory data analysisexplore_table
Fibrosis datasetfibrosis
KTFS datasetktfs
Predictive model estimation in diagnosis scenariospred_model_binout
Predictive model (naive estimation)pred_model_emp
Predictive model in prognosis scenarios (I)pred_model_timeic
Predictive model in prognosis scenarios (II)pred_model_timerc
Print sMSROCprint.sMSROC
Plot of the predictive modelprobs_pred
sMS estimator for diagnostic biomarkerssMS_binout
sMS estimator for prognostic biomarkers and interval censoringsMS_timeic
sMS estimator for prognostic biomarkers and right censorshipsMS_timerc
sMS ROC curve estimator computationsMSROC
Plot of the sMS ROC curve estimatesMSROC_plot
Variance of the predictive modelvariance_probs