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genomic.autocorr  

Models Dealing with Spatial Dependency in Genomic Data
View on CRAN: Click here


Download and install genomic.autocorr package within the R console
Install from CRAN:
install.packages("genomic.autocorr")

Install from Github:
library("remotes")
install_github("cran/genomic.autocorr")

Install by package version:
library("remotes")
install_version("genomic.autocorr", "1.0-1")



Attach the package and use:
library("genomic.autocorr")
Maintained by
Chris Wallace
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-20
Latest Update: 2017-10-20
Description:
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.
How to cite:
Chris Wallace (2017). genomic.autocorr: Models Dealing with Spatial Dependency in Genomic Data. R package version 1.0-1, https://cran.r-project.org/web/packages/genomic.autocorr. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for genomic.autocorr
Functions, R codes and Examples using the genomic.autocorr R package
Some associated functions: acf.summary . block.glm . internalfunctions . 
Some associated R codes: block-glm.R .  Full genomic.autocorr package functions and examples
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