Name Mode Size
.github 040000
R 040000
inst 040000
man 040000
tests 040000
vignettes 040000
.travis.yml 100644 1 kb
DESCRIPTION 100644 1 kb
LICENSE 100644 1 kb
NAMESPACE 100644 1 kb 100644 2 kb
# censcyt [![Bioc devel](]( [![Bioc release](]( [![R build status](]( [![codecov](]( ## Summary `censcyt` is an R package extending the [diffcyt]( (differential discovery in high-dimensional cytometry via high-resolution clustering) pipeline. `censcyt` (**Cens**ored diff**cyt**) includes methods for differential abundance analysis in the presence of a covariate subject to right censoring. It uses the *reversed* association testing approach (like `diffcyt`) meaning the censored variable (e.g. survival time) is modeled as a predictor. Classical survival analysis methods on the other hand model the censored variable as the response. See also [here]( ## Vignettes The main workflow can be found in the Bioconductor [package vignette of diffcyt]( An example use of the `censcyt` methods for differential abundance analysis with a covariate subject to right censoring is available in the [package vignette]( on bioconductor. ## Install To install from bioconductor: ```{r} if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("censcyt") ``` ### Development version To install directly from GitHub run the following code: ```{r} # First install 'devtools' package from CRAN install.packages("devtools") # Then install 'censcyt' package from GitHub devtools::install_github("retogerber/censcyt") ```