Package: cases 0.2.0

Max Westphal

cases: Stratified Evaluation of Subgroup Classification Accuracy

Enables simultaneous statistical inference for the accuracy of multiple classifiers in multiple subgroups (strata). For instance, allows to perform multiple comparisons in diagnostic accuracy studies with co-primary endpoints sensitivity and specificity (Westphal M, Zapf A. Statistical inference for diagnostic test accuracy studies with multiple comparisons. Statistical Methods in Medical Research. 2024;0(0). <doi:10.1177/09622802241236933>).

Authors:Max Westphal [aut, cre]

cases_0.2.0.tar.gz
cases_0.2.0.zip(r-4.7-any)cases_0.2.0.zip(r-4.6-any)cases_0.2.0.zip(r-4.5-any)
cases_0.2.0.tgz(r-4.6-any)cases_0.2.0.tgz(r-4.5-any)
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cases_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cases/json (API)

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

Bug tracker:https://github.com/maxwestphal/cases/issues

Pkgdown/docs site:https://maxwestphal.github.io

Datasets:
  • data_wdbc - Breast Cancer Wisconsin (Diagnostic) Data Set

On CRAN:

Conda:

4.76 score 2 stars 29 scripts 326 downloads 13 exports 53 dependencies

Last updated from:4eb54811e3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK187
source / vignettesOK242
linux-releaseOK158
macos-releaseOK193
macos-oldrelOK188
windows-develOK100
windows-releaseOK142
windows-oldrelOK135
wasm-releaseOK114

Exports:%>%categorizecomparedefine_contrastdraw_datadraw_data_lfcdraw_data_prbdraw_data_rocevaluategenerate_instance_lfcgenerate_instance_rocprocess_instancevisualize

Dependencies:ADGofTestbindatabootclasscliclustercodetoolscolorspacecopulacorrplotcpp11dplyre1071extraDistrfarvergenericsggplot2gluegslgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmultcompmvtnormnumDerivpcaPPpillarpkgconfigproxypsplineR6RColorBrewerRcppRcppArmadillorlangS7sandwichscalesstabledistsurvivalTH.datatibbletidyselectutf8vctrsviridisLitewithrzoo

Real-world example: biomarker assessment and prediction model evaluation
Preparation | Introduction | Scenario A: Biomarker assessment | Scenario B: Prediction model evaluation | References
Rendered fromexample_wdbc.Rmdusingknitr::rmarkdown

Last update: 2025-01-04
Started: 2022-08-06

R package cases: overview
Preparation | Important functions | categorize() | compare() | evaluate() | draw_data() | Common workflows | Multiple testing for co-primary endpoints | Specification of hypotheses | Comparison vs. confidence regions | Real data example | References
Rendered frompackage_overview.Rmdusingknitr::rmarkdown

Last update: 2024-07-17
Started: 2022-08-06