Testing for a Subset of Variance Components in Linear Mixed
Models
c(person("Yichi", "Zhang", role = c("aut", "cre"),
email = "yzhang52@ncsu.edu"))
Test zero variance components in linear mixed models and
test additivity in nonparametric regression
using the restricted likelihood ratio test and the generalized F-test.
Details can be found at Zhang et al (2016) <doi:10.1002/cjs.11295>.

Linear Mixed-Effects Models with Censored Responses
This package includes a function to fit a linear
mixed-effects model in the formulation described in Laird and
Ware (1982) but allowing for censored normal responses. In this
version, the with-in group errors are assumed independent and
identically distributed.

Linear Mixed Effects Models for Genome-Wide Association Studies
c(person("Lucia", "Gutierrez", role = "aut",
email = "gutierrezcha@wisc.edu"),
person("Gaston", "Quero",role =c("aut","cre"),
email = "gastonquero@gmail.com"),
person("Schubert", "Fernandez",role ="aut",
email = "sfernandez@inia.org.uy"),
person("Sofia", "Brandariz",role ="aut",
email = "brandarizsofia@gmail.com"),
person("Sebastian", "Simondi",role ="ctb",
email = "sebastian.simondi@gmail.com"))
Lucia Gutierrez [aut],
Gaston Quero [aut, cre],
Schubert Fernandez [aut],
Sofia Brandariz [aut],
Sebastian Simondi [ctb]
Performs Genome-Wide Association analysis for diverse populations and
for multi-environment and multi-trait analysis using linear mixed models.
qtl, lattice, pastecs, stringr, fdrtool, LDheatmap, genetics,
graphics, utils, grDevices, stats, lme4

Linear Mixed Effects Models for QTL Mapping for Multienvironment
and Multitrait Analysis
Performs QTL mapping analysis for balanced and for
multi-environment and multi-trait analysis using mixed models.
Balanced population, single trait, single environment QTL mapping is
performed through marker-regression (Haley and Knott (1992) <DOI:10.1038/hdy.1992.131>,
Martinez and Curnow (1992) <DOI:10.1007/BF00222330>,
while multi-environment and multi-trait QTL
mapping is performed through linear mixed models.
These functions could use any of the following populations: double haploid,
F2, recombinant inbred lines, back-cross, and 4-way crosses.
Performs a Single Marker Analysis, a Single Interval Mapping,
or a Composite Interval Mapping analysis, and then constructs a final model
with all of the relevant QTL.
qtl, lme4, lattice, pastecs, stringr, graphics, utils,
grDevices, stats