Generalized Ridge Trace Plots for Ridge Regression
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"))

Implementation of the Generalized Score Matching estimator in Yu et al. (2019) <http://jmlr.org/papers/v20/18-278.html> for non-negative graphical models (truncated Gaussian, exponential square-root, gamma, a-b models) and univariate truncated Gaussian distributions. Also includes the original estimator for untruncated Gaussian graphical models from Lin et al. (2016) <doi:10.1214/16-EJS1126>, with the addition of a diagonal multiplier.
Matrix, igraph, zoo, knitr, rmarkdown, cubature
Rdpack, utils, mvtnorm, tmvtnorm, stringr

Generalized ensemble methods allowing arbitrary underlying
models to be used. Currently only bagging is supported.

Generates Data Sets for Class Demonstrations
Lori Murray [aut, cre], John Wilson [aut, cre]
For educational purposes to demonstrate the importance of multiple regression. The genset function generates a data set from an initial data set to have the same summary statistics (mean, median, and standard deviation) but opposing regression results.

R (>= 3.0), mvmesh, geometry, SphericalCubature, rgl, utils,
grDevices, graphics
Define and compute with generalized spherical distributions - multivariate probability
laws that are specified by a star shaped contour (directional behavior) and a radial component.

R (>= 3.0), mvmesh, geometry, SphericalCubature (>= 1.5), rgl,
utils, grDevices, graphics
Define and compute with generalized spherical distributions - multivariate probability
laws that are specified by a star shaped contour (directional behavior) and a radial component.
The methods are described in Nolan (2016) <doi:10.1186/s40488-016-0053-0>.

Resampling Based Yield Stability Analyses
Several yield stability analyses are mentioned in this package: variation and regression based yield stability analyses. Resampling techniques are integrated with these stability analyses. The function stab.mean() provides the genotypic means and ranks including their corresponding confidence intervals. The function stab.var() provides the genotypic variances over environments including their corresponding confidence intervals. The function stab.fw() is an extended method from the Finlay-Wilkinson method (1963). This method can include several other factors that might impact yield stability. Resampling technique is integrated into this method. A few missing data points or unbalanced data are allowed too. The function stab.fw.check() is an extended method from the Finlay-Wilkinson method (1963). The yield stability is evaluated via common check line(s). Resampling technique is integrated.