Package: gpqyouden 0.1.0

Juan José Olmedilla Arregui

gpqyouden: Generalized Pivotal Quantity Inference for the Youden Index

Monte Carlo simulation study of generalized pivotal quantity (GPQ) based confidence intervals for the Youden index and its optimal cut-point, following Lai, Tian and Schisterman (2012) <doi:10.1016/j.csda.2010.11.023>.

Authors:Juan José Olmedilla Arregui [aut, cre]

gpqyouden_0.1.0.tar.gz
gpqyouden_0.1.0.zip(r-4.7-any)gpqyouden_0.1.0.zip(r-4.6-any)
gpqyouden_0.1.0.tar.gz(r-4.7-any)gpqyouden_0.1.0.tar.gz(r-4.6-any)
gpqyouden_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gpqyouden/json (API)

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

Bug tracker:https://github.com/jolmedilla/gpqyouden/issues

On CRAN:

Conda:

1.00 score 3 scripts 22 exports 52 dependencies

Last updated from:c59fc692ff. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK107
source / vignettesOK165
linux-releaseOK116
windows-develOK73
windows-releaseOK84
wasm-releaseOK104

Exports:calculate_mu1_for_dataframedefault_param_griddmixnormeq.J2find_mu1_from_J_mixturefind_mu1_from_J2generate_mixture_samplegenerate_mixture_tablesgenerate_normal_tablesgenerate_param_gridgpq_cgpq_from_samplegpq_Jgpq_mugpq_sigmaJ_true_mixtureJ2.theoreticalmix_sdpmixnormrun_one_rowrun_parallel_gridrun_simulation

Dependencies:base64encbslibcachemclicpp11digestdplyrevaluatefarverfastmapfontawesomefsgenericsgluehighrhtmltoolsjquerylibjsonlitekableExtraknitrlabelinglifecyclemagrittrmemoisemimepillarpkgconfigpurrrR6rappdirsRColorBrewerrlangrmarkdownrstudioapisassscalesstringistringrsvglitesystemfontstextshapingtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxml2yaml