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Ld Library Not Found For R Mac

28.05.2020
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BGLR: An R Package for (Bayesian) High-Dimensional Regression

  1. Ld Library Not Found For R Mac Miller
  2. Ld Library Not Found For R Mac Os
  3. Ld Library Not Found For R Mac Torrent

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The BGLR Package (Perez & de los Campos, 2014) implements a variety of shrinkage and variable selection regression procedures. In this repository we maintain the latestversion beta version. The latest stable release can be downloaded from CRAN.

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Installation

From CRAN (stable release).

From GitHub (development version, added features).

Note: when trying to install from github on a mac you may get the following error message

This can be fixed it by following the following advise.

1. Single-Trait Models

Examples BGLR-function

Other Omics

For
  • Metabolomics (milk-spectra): Ferragina et al., J.D.Sci, 2015

  • Multi-omic (gene expression, methylation & CNV): Vazquez et al. (10th, WCGALP) & Vazquez et al. (Genetics, 2016)

Markers or Pedigree and Environmental Covariates

-Wheat (SNPs and env. covariates): Jarquin et al. (TAG, 2014)

Ld Library Not Found For R Mac Miller

-Cotton (Pedigree and env. covariates): Perez-Rodriguez et al.(Crop. Sci, 2015)

Image Data

-Maize (Image data): Aguate et al. (IBC, 2016)

Ld Library Not Found For R Mac Os

2. Multi-trait models

Ld Library Not Found For R Mac Torrent

The Multitrait function included in the BGLR package fits Bayesian multitrait models witharbitrary number of random effects using a Gibbs sampler. A functionality similar to thisis implemented in the MTM package. Inthis implementation is possible to include regression on markers directly assigning Spike-slab orGaussian priors for the regression coefficients and fixed effects can be different for all the traits.We also have improved the sampling routines to speed up computations. Next we include some examples.