QDECR: a flexible, extensible vertex-wise analysis framework in R

Abstract

QDECR is a flexible, extensible R package to perform vertex-wise analyses on structural neuroimaging data. QDECR was written with large population-based epidemiological studies in mind and was designed to fully utilize the extensive modeling options in R. QDECR currently works on images processed through FreeSurfer and it supports vertex-wise linear regression. Design matrix generation can be done through simple formula specification, and includes user-friendly extensions for R options such as polynomials, splines, interactions and other terms. QDECR can handle unimputed and imputed datasets with thousands of participants. New statistical models and methods already built into R, like mixed modeling or survival analysis, can be implemented in QDECR through a standardized protocol

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