Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques and polygenic term with reduced dimensionality.

Designed for whole-genome regressions using Bayesian models fitted via EM or Gibbs sampling with optional resampling techniques (Bagging) and polygenic term with reduced dimensionality.

Alencar Xavier, William Muir, Shizhong Xu, Katy Rainey.
Whole-genome regression methods on Bayesian framework fitted via EM
or Gibbs sampling, with optional sampling techniques and kernel term.

Whole-genome regression methods on Bayesian framework fitted via EM
or Gibbs sampling, with optional kernel term and sampling techniques as described
by Xavier (2017) <doi:10.1186/s12859-017-1582-3>.

Alencar Xavier, William Muir, Kyle Kocak, Shizhong Xu, Katy Rainey.

Whole-genome regression methods on Bayesian framework fitted via EM
or Gibbs sampling, univariate and multivariate, with optional kernel term and
sampling techniques.

Alencar Xavier, William Muir, David Habier, Kyle Kocak, Shizhong Xu, Katy Rainey.

Whole-genome regression methods on Bayesian framework fitted via EM
or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>),
with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).

Labelling, Tracking, and Collecting Data from Biological Samples
c(person("Yihan", "Wu", role="aut", email = "yihan.wu@queensu.ca"), person("Robert", "Colautti", email = "robert.colautti@queensu.ca", role = c("aut", "cre")))
Tools to generate unique identifiers and printable barcoded labels for sample management.
The creation of unique ID codes and printable PDF files can be initiated by standard commands,
user prompts, or through a GUI addin for R Studio. Both single-level and hierarchical labels can
be created in the command line interactively or non-interactively.
DT (>= 0.3), ggplot2, grDevices, grid, miniUI (>= 0.1.1),
shiny (>= 0.13)
Yihan Wu [aut],
Robert Colautti [aut, cre]