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SurprisalAnalysis

3.0.1Package record

Information Theoretic Analysis of Gene Expression Data

0packages depend
4.3Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Implements Surprisal analysis for gene expression data such as RNA-seq or microarray experiments. Surprisal analysis is an information-theoretic method that decomposes gene expression data into a baseline state and constraint-associated deviations, capturing coordinated gene expression patterns under different biological conditions. References: Kravchenko-Balasha N. et al. (2014) doi:10.1371/journal.pone.0108549. Zadran S. et al. (2014) doi:10.1073/pnas.1414714111. Su Y. et al. (2019) doi:10.1371/journal.pcbi.1007034. Bogaert K. A. et al. (2018) doi:10.1371/journal.pone.0195142.

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-04-30
Show 1 earlier changeHide 1 earlier change
  • ERROR9 OK, 2 NOTE, 3 ERROR2026-03-10
Advisories

none known

Documentation

In release 3.0.1
READMEYes · 131 wordsVignettesYes · 3 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%3 run in a plain check (1 of them under a condition)
Exported functions with examples
100%
Documented parameters
93%
Return-value docs
100%
Help pages citing references
0%

Downloads

4.3K
CRAN downloads in the past year
Rank #6,780 · ~12/day · ~361/mo
Daily download trend is not available in this view yet.
68030 days
1.2K90 days
4.3K1 year
Compare downloads with other packages →
Also on97 r2u

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)

Installing SurprisalAnalysis adds 100 packages (50 with compiled code, 92 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.2 (2025)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.0.1Latest
    record
    2026-04-23 · current release · diff ↗
  • 3.0.0
    record
    2026-01-08 · diff ↗
  • 0.2
    record
    2025-09-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-09-10
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Download size
2.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SurprisalAnalysis")
Najafi, A. (2026). SurprisalAnalysis: Information Theoretic Analysis of Gene Expression Data (Version 3.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SurprisalAnalysis

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SurprisalAnalysis version 3.0.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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