rrBlupMethod6 -- Re-parametrization of mixed model
formulation to allow for a fixed residual variance when using
RR-BLUP for genomwide estimation of marker effects and linear
transformation of the adjusted means proposed by Piepho et
al.(2011)

c(person(given = "Torben", family = "Schulz-Streeck", email
= "torben.schulz-streeck@uni-hohenheim.de", role = "aut"),
person(given = "Boubacar", family = "Estaghvirou", email =
"S.Ould@uni-hohenheim.de", role = "aut"), person(given =
"Frank",family = "Technow", email =
"Frank.Technow@uni-hohenheim.de", comment = "University of
Hohenheim, Institute of Plant Breeding, Seed Science and
Population Genetics, Stuttgart, Germany", role =
c("aut","cre")))

c(person("Suyeon", "Kang", role = c("aut", "cre"),
email = "skang062@ucr.edu"),
person("Weixin", "Yao", role = "aut",
email = "weixin.yao@ucr.edu"),
person("Kun", "Chen", role = "aut",
email = "kun.chen@uconn.edu"))
We implement full-ranked, rank-penalized, and adaptive nuclear norm penalized estimation methods using multivariate mixture models proposed by Kang, Chen, and Yao (2022+).
MASS, Rcpp (>= 1.0.7), Matrix, matrixcalc, gtools, utils
Suyeon Kang [aut, cre],
Weixin Yao [aut],
Kun Chen [aut]

MASS, Rcpp (>= 1.0.8), Matrix, matrixcalc, gtools, utils

The 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name and location in the nested list of the element under evaluation. The rrapply() function is implemented in 'R''s 'C' interface and requires no other package dependencies.

The 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name, location, parents and siblings in the nested list of the element under evaluation. The rrapply() function is implemented in 'R''s 'C' interface and requires no other package dependencies.