Package: citcdf 1.2.1

Boris P. Hejblum

citcdf: Conditional Independence Testing with Cumulative Distribution Functions

Complex hypothesis testing through conditional cumulative distribution function estimation. Method is detailed in: Gauthier M, Agniel D, Thiébaut R & Hejblum BP (2021). "Distribution-free complex hypothesis testing for single-cell RNA-seq differential expression analysis", bioRxiv <doi:10.1101/2021.05.21.445165>.

Authors:Denis Agniel [aut], Kalidou Ba [ctb], Sara Fallet [aut], Marine Gauthier [aut], Boris P. Hejblum [aut, cre, cph], Pierre Neuvial [ctb]

citcdf_1.2.1.tar.gz
citcdf_1.2.1.zip(r-4.7-any)citcdf_1.2.1.zip(r-4.6-any)citcdf_1.2.1.zip(r-4.5-any)
citcdf_1.2.1.tgz(r-4.6-any)citcdf_1.2.1.tgz(r-4.5-any)
citcdf_1.2.1.tar.gz(r-4.7-any)citcdf_1.2.1.tar.gz(r-4.6-any)
citcdf_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
citcdf/json (API)

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

Bug tracker:https://github.com/sistm/citcdf/issues

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

On CRAN:

Conda:

quarto

5.95 score 3 stars 10 scripts 295 downloads 8 exports 31 dependencies

Last updated from:da50b2e58d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK194
source / vignettesOK480
linux-releaseOK188
macos-releaseOK177
macos-oldrelOK166
windows-develOK175
windows-releaseOK181
windows-oldrelOK183
wasm-releaseOK117

Exports:ccdfcit_asympcit_gsacit_multicit_permperm_contplot_compare_ccdfX_perm

Dependencies:clicpp11DBIfarverggplot2gluegtableisobandlabelinglatticelifecycleMatrixminqamitoolsnumDerivpatchworkpbapplyR6RColorBrewerRcppRcppArmadilloRcppEigenRcppNumericalrlangS7scalessurveysurvivalvctrsviridisLitewithr

User guide to the cit_gsa function
Overview of citcdf for gene set analysis | Function | Inputs | Testing a gene set with cit_gsa() | The data | Objectives | Gene set test | Visualization | Practical considerations | Session information | References
Rendered fromcit_gsa-userguide.qmdusingquarto::html

Last update: 2026-10-19
Started: 2026-10-19

User guide to the citcdf R package
Overview of citcdf | Main user functions | Inputs | Testing a single hypothesis | The data | Asymptotic test with cit_asymp() | Permutation test with cit_perm() | Visualization | Testing many outcomes with cit_multi() | scRNA-seq data | Asymptotic analysis | Permutation analysis | Practical considerations | Session information | References
Rendered fromcitcdf-userguide.qmdusingquarto::html

Last update: 2026-10-19
Started: 2026-08-19