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sMSROC (version 0.1.3)

Assessment of Diagnostic and Prognostic Markers

Description

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) and Diaz-Coto et al. (2020) ).

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Version

Install

install.packages('sMSROC')

Monthly Downloads

157

Version

0.1.3

License

GPL

Maintainer

Susana Diaz-Coto

Last Published

October 20th, 2025

Functions in sMSROC (0.1.3)

check_ncpus-internal

Check number of CPUs
check_nboots-internal

Check number of bootstrap samples
pred_model_timeic-internal

Predictive model in prognosis scenarios (I)
print.sMSROC

Print sMSROC
pred_model_emp-internal

Predictive model (naive estimation)
pred_model_binout-internal

Predictive model estimation in diagnosis scenarios
sMS_timeic-internal

sMS estimator for prognostic biomarkers and interval censoring
sMS_binout-internal

sMS estimator for diagnostic biomarkers
evol_auc

Evolution of the AUCs
sMS_timerc

sMS estimator for prognostic biomarkers and right censorship
variance_probs-internal

Variance of the predictive model
sMSROC_plot

Plot of the sMS ROC curve estimate
sMSROC

sMS ROC curve estimator computation
pred_model_timerc-internal

Predictive model in prognosis scenarios (II)
fibrosis

Fibrosis dataset
ktfs

KTFS dataset
probs_pred

Plot of the predictive model
check_grid-internal

Check grid
auc_ci_boot-internal

Confidence intervals for the AUC (bootstrap)
check_conf_int-internal

Checks for parameters to compute the confidence intervals for the AUC
auc_ci_empr-internal

Confidence intervals for the AUC (empirical variance estimation)
check_marker_timerc-internal

Check of prognosis scenarios under right censorship
auc_ci_nvar-internal

Confidence intervals for the AUC (theoretical variance estimation)
check_tim-internal

Check tim
check_type_outcome-internal

Check the type of scenario (diagnosis/prognosis)
conf_int_print

AUC and confidence intervals
compute_ROC-internal

Weighted empirical ROC curve estimator
check_marker_binout-internal

Checks of diagnosis scenarios
check_marke_timeic-internal

Check of prognosis scenarios under interval censorship
diabet

Diabetes dataset
check_ci_cl-internal

Check confidence level for AUC's confidence intervals
check_meth-internal

Check the method for estimating the predictive model
explore_plot

Graphical exploratory data analysis
explore_table

Exploratory data analysis