Package: genomic.autocorr 1.0-1
genomic.autocorr: Models Dealing with Spatial Dependency in Genomic Data
Local structure in genomic data often induces dependence between observations taken at different genomic locations. Ignoring this dependence leads to underestimation of the standard error of parameter estimates. This package uses block bootstrapping to estimate asymptotically correct standard errors of parameters from any standard generalised linear model that may be fit by the glm() function.
Authors:
genomic.autocorr_1.0-1.tar.gz
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genomic.autocorr_1.0-1.tgz(r-4.4-any)genomic.autocorr_1.0-1.tgz(r-4.3-any)
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genomic.autocorr.pdf |genomic.autocorr.html✨
genomic.autocorr/json (API)
# Install 'genomic.autocorr' in R: |
install.packages('genomic.autocorr', repos = c('https://chr1swallace.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chr1swallace/genomic.autocorr/issues
Last updated 6 years agofrom:764dcfe4b1. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | WARNING | Oct 25 2024 |
R-4.5-linux | WARNING | Oct 25 2024 |
R-4.4-win | WARNING | Oct 25 2024 |
R-4.4-mac | WARNING | Oct 25 2024 |
R-4.3-win | WARNING | Oct 25 2024 |
R-4.3-mac | WARNING | Oct 25 2024 |
Exports:acf.summaryblock.glm
Dependencies:data.tablemagrittrplyrRcppreshape
Readme and manuals
Help Manual
Help page | Topics |
---|---|
internal function to simulate data for examples | .sim.data |
acf.summary | acf.summary |
block.glm | block.glm |