fullfact: Full Factorial Breeding Analysis
Version 1.2

We facilitate the analysis of full factorial mating designs with mixed-effects models. The observed data functions extract the variance explained by random and fixed effects and provide their significance. We then calculate the additive genetic, nonadditive genetic, and maternal variance components explaining the phenotype. In particular, we integrate nonnormal error structures for estimating these components for nonnormal data types. The resampled data functions are used to produce bootstrap confidence intervals, which can then be plotted using a simple function. This package will facilitate the analyses of full factorial mating designs in R, especially for the analysis of binary, proportion, and/or count data types and for the ability to incorporate additional random and fixed effects and power analyses. The paper associated with the package including worked examples is: Houde ALS, Pitcher TE (2016) .

Package details

AuthorAimee Lee Houde [aut, cre], Trevor Pitcher [aut]
Date of publication2017-04-12 13:43:07 UTC
MaintainerAimee Lee Houde <[email protected]>
LicenseGPL (>= 2)
URL https://www.r-project.org
Package repositoryView on CRAN
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fullfact documentation built on May 30, 2017, 1:24 a.m.