Package: R2ROC 1.0.1

R2ROC: AUC Statistics

Area under the receiver operating characteristic curves (AUC) statistic for significance test. Variance and covariance of AUC values used to assess the 95% Confidence interval (CI) and p-value of the AUC difference for both nested and non-nested model.

Authors:Hong Lee [aut, cph], Moksedul Momin [aut, cre, cph]

R2ROC_1.0.1.tar.gz
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R2ROC_1.0.1.tgz(r-4.4-any)R2ROC_1.0.1.tgz(r-4.3-any)
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R2ROC.pdf |R2ROC.html✨
R2ROC/json (API)

# Install 'R2ROC' in R:

install.packages('R2ROC', repos = c('https://mommy003.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mommy003/r2roc/issues

Datasets:

dat1 - Raw phenotypes and 2 sets of discovery PGSs
dat2 - Pre-adjusted phenotypes and 2 sets of discovery PGSs

On CRAN:

10 exports 3 stars 1.41 score 0 dependencies 1 dependents 2 scripts 327 downloads

Last updated 3 months agofrom:700fe25d1c. Checks:OK: 1 ERROR: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 22 2024
R-4.5-win	ERROR	Aug 22 2024
R-4.5-linux	ERROR	Aug 22 2024
R-4.4-win	ERROR	Aug 22 2024
R-4.4-mac	ERROR	Aug 22 2024
R-4.3-win	ERROR	Aug 22 2024
R-4.3-mac	ERROR	Aug 22 2024

Exports:auc_diff auc_trf auc_var olkin_auc1 olkin_auc1_2 olkin_auc12 olkin_auc12_1 olkin_auc12_13 olkin_auc12_3 olkin_auc12_34

Dependencies:

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
auc_diff function	auc_diff
auc_trf function	auc_trf
auc_var function	auc_var
Raw phenotypes and 2 sets of discovery PGSs	dat1
Pre-adjusted phenotypes and 2 sets of discovery PGSs	dat2
olkin_auc1 function	olkin_auc1
olkin_auc1_2 function	olkin_auc1_2
olkin_auc12 function	olkin_auc12
olkin_auc12_1 function	olkin_auc12_1
olkin_auc12_13 function	olkin_auc12_13
olkin_auc12_3 function	olkin_auc12_3
olkin_auc12_34 function	olkin_auc12_34