Package: scDECO 0.1.0

Anderson Bussing

scDECO: Estimating Dynamic Correlation

Implementations for two different Bayesian models of differential co-expression. scdeco.cop() fits the bivariate Gaussian copula model from Zichen Ma, Shannon W. Davis, Yen-Yi Ho (2023) <doi:10.1111/biom.13701>, while scdeco.pg() fits the bivariate Poisson-Gamma model from Zhen Yang, Yen-Yi Ho (2022) <doi:10.1111/biom.13457>.

Authors:Anderson Bussing [aut, cre], Yen-Yi Ho [aut, ths], Zichen Ma [aut], Zhen Yang [aut]

scDECO_0.1.0.tar.gz
scDECO_0.1.0.zip(r-4.5)scDECO_0.1.0.zip(r-4.4)scDECO_0.1.0.zip(r-4.3)
scDECO_0.1.0.tgz(r-4.4-any)scDECO_0.1.0.tgz(r-4.3-any)
scDECO_0.1.0.tar.gz(r-4.5-noble)scDECO_0.1.0.tar.gz(r-4.4-noble)
scDECO_0.1.0.tgz(r-4.4-emscripten)scDECO_0.1.0.tgz(r-4.3-emscripten)
scDECO.pdf |scDECO.html✨
scDECO/json (API)

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

Peer review:

Bug tracker:https://github.com/yenyiho-lab/scdeco/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

4.78 score 456 downloads 4 exports 21 dependencies

Last updated 6 months agofrom:afa8d434c1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:scdeco.copscdeco.pgscdeco.sim.copscdeco.sim.pg

Dependencies:clicodaexpmfansigenericsgluelatticelifecyclemagrittrMASSMatrixmsmmvtnormpillarpkgconfigrjagsrlangsurvivaltibbleutf8vctrs

scDECO-Copula

Rendered fromscDECO-Copula.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2024-06-02
Started: 2024-05-01

scDECO-Poisson-Gamma

Rendered fromscDECO-Poisson-Gamma.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2024-06-02
Started: 2024-05-01