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ZENODO
Software . 2015
Data sources: Datacite
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ZENODO
Software . 2015
Data sources: ZENODO
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breedR: breedR 0.11

Authors: Facundo Muñoz; slecourieux;

breedR: breedR 0.11

Abstract

Install breedR from package repository avoiding package devtools New vignette: Computing Heritability Access to inverse Average-Information matrix Automatic computation of heritability for genetic models and method 'ai' remlf90() interface to PROGSF90 OPTIONS Much more exhaustive testing ensures greater stability. New datasets Douglas (multi-site) and Larix (repeated measurements) Separate R-package from BLUPF90 binaries. Exploit 64bit architectures. Several bugfixes. Notably, the empirical variogram computation and memory issues with the AR model. Full internal refactoring (with few 'visible' changes in the interface) model.matrix() no longer separates fixed and random effects. It returns the same structure as ranef() which is more intuitive. vcov() works now with any of the non-diagonal random effects. New 'generic' model component allows passing a list of arbitrary incidence and covariance/precision matrices Optimized splines model. It runs about 5x faster.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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