Aimee Lee Houde [aut, cre], Trevor Pitcher [aut]
Package for the analysis of full factorial breeding designs.

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) <doi:10.1002/ece3.1943>.

We facilitate the analysis of full factorial mating designs with mixed-effects models. There are now six vignettes containing detailed examples.

Full Text of 'Scholarly' Articles Across Many Data Sources
Provides a single interface to many sources of full
text 'scholarly' data, including 'Biomed Central', Public Library of Science,
'Pubmed Central', 'eLife', 'F1000Research', 'PeerJ', 'Pensoft', 'Hindawi', 'arXiv'
'preprints', and more. Functionality included for searching for articles,
downloading full or partial text, converting to various data formats used
in and outside of R.
methods, utils, stats, httr (>= 1.0.0), magrittr, xml2,
jsonlite, rplos (>= 0.5.2), rcrossref, aRxiv, rentrez, tm,
rredis, R.cache, digest, whisker

Provides a single interface to many sources of full text
'scholarly' data, including 'Biomed Central', Public Library of
Science, 'Pubmed Central', 'eLife', 'F1000Research', 'PeerJ',
'Pensoft', 'Hindawi', 'arXiv' 'preprints', and more. Functionality
included for searching for articles, downloading full or partial
text, downloading supplementary materials, converting to various
data formats used in and outside of R.