CRISPR Screen and Gene Expression Differential Analysis
Overview
Provides analytical methods for analyzing CRISPR screen data at different levels of gene expression. Multi-component normal mixture models and EM algorithms are used for modeling.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-03-30
- OK14 OK2026-03-10
Documentation
- Help pages
- 14
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 30%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing CEDA adds 70 packages (37 with compiled code, 72 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.1.1Latest
- RR 4.3.0 released · 2023-04-21
- unarchivedReturned to CRAN2022-08-11
- 1.1.0
- archivedRemoved from CRAN2022-06-17check problems were not corrected in time
- RR 4.2.0 released · 2022-04-22
- 1.0.22022-01-07
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-01-07
- Total releases
- 3 / 4 yrs
- License
- Apache License (== 2.0)
- Minimum R
- ≥ 3.5.0
- Bundled data
- 693 KB / 1 file
- Download size
- 2.9 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("CEDA")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.