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.

Use block bootstrap to allow for spatial dependencies in genomic data used in glms Travis-CI Build Status


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1.0-1 by Chris Wallace, 4 years ago

Browse source code at

Authors: Chris Wallace [aut, cre] , Oliver Burren [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports data.table, magrittr, reshape, parallel

Suggests testthat

See at CRAN