News
Version Updates
0.3.0
- CRAN release.
- Add Kundel dataset.
- Check for and report partially paired factorial designs.
- Converted FORTRAN code for conventional and likelihood-ratio
binormal ROC curves to R.
- Remove deprecated argument methodfrommrmc(),srmc(), andstmc().
0.2.1
- Order tests and readers lexically in results from
mrmc().
- Rename bichisquarecolumn tobichisquaredinbinormalLR_curve.
0.2.0
- Implement fast algorithm for unbiased covariance estimation.
- Remove deprecated functions proproc_roc(),proproc_sens(), andproproc_spec().
- Rename argument methodtocovinmrmc(),srmc(), andstmc().
0.1.16
- Add functions OR_to_RMH()andRMH_to_OR()for conversion from Obuchowski-Rockette to Roe, Metz & Hillis model
parameters and vice versa.
0.1.15
- Implement ROC expected utility metrics binormal_eu(),binormalLR_eu(), andempirical_eu().
0.1.14
- Add progress bar for unbiased covariance calculation.
- Truncate confidence intervals only for sens,spec, andaucmetrics.
- Fix direction of ratings in pROCcalculation of
empirical ROC AUC to allow values < 0.5.
0.1.13
- Add mrmc()support for single readers.
- Rename proprocfunctions tobinormalLR.
- Add parameters()method function formrmcoutput.
- Add roc_curves()method function forsrmcoutput.
- Add normalizeargument toauc()metrics.
- Redefine srmc()function for single-reader (multi-test)
multi-case analysis.
- Add stmc()function for single-reader (single-test)
multi-case analysis.
0.1.12
- Fix proproc_sens()andproproc_spec()to
use proproc instead of empirical curves.
0.1.11
- Add support for readers nested within tests.
- Add smmc()for single reader multiple case
analysis.
- Add parameters()function to extract ROC curve
parameters fromroc_curves()results.
- Fix partial AUC calculation when specificity ranges are given.
- Add plot option to overlay empirical ROC points on parametric
curves.
0.1.10
- Subset data in calls to mrmc()by event/non-event cases
forbinary_sens()/binary_spec()metrics.
- Add coord_fixedargument toplot()methods.
- Add mean()method forbinormal_curvesto
average over their ROC curve parameters.
0.1.9
- Add binary_sens()andbinary_spec()metrics.
0.1.8
- Support sensitivity values in points()methods.
- Implement conventional binormal ROC curves and metrics.
- Add package citation.
0.1.7
- Add roc_curves()function for construction of ROC
curves and method functionspoints()for calculating points
on the curves,mean()for averaging multiple curves, andplot()for displaying them graphically.
- Deprecate roc()andproproc().
0.1.6
- Fix unbiased covariance calculation.
0.1.5
0.1.4
0.1.3
- Add metric functions for sensitivity, specificity, and partial
AUC.
0.1.2