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sommer

To install this source on your computer type in the R terminal

library(devtools)

install_github('covaruber/sommer')

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Version

Install

install.packages('sommer')

Monthly Downloads

4,080

Version

4.0.9

License

GPL (>= 2)

Maintainer

Giovanny Covarrubias-Pazaran

Last Published

February 7th, 2020

Functions in sommer (4.0.9)

CS

Compound symmetry matrix
DT_augment

DT_augment design example.
D.mat

Dominance relationship matrix
AR1

Autocorrelation matrix of order 1.
A.mat

Additive relationship matrix
ARMA

Autocorrelation Moving average.
DT_cornhybrids

Corn crosses and markers
DT_example

Broad sense heritability calculation.
DT_cpdata

Genotypic and Phenotypic data for a CP population
DT_btdata

Blue Tit Data for a Quantitative Genetic Experiment
DT_wheat

wheat lines dataset
DT_technow

Genotypic and Phenotypic data from single cross hybrids (Technow et al. (2014))
DT_legendre

Simulated data for random regression
DT_polyploid

Genotypic and Phenotypic data for a potato polyploid population
DT_h2

Broad sense heritability calculation.
fitted.mmer

fitted form a GLMM fitted with mmer
DT_rice

Rice lines dataset
DT_gryphon

Gryphon data from the Journal of Animal Ecology
anova.mmer

anova form a GLMM fitted with mmer
adiag1

Binds arrays corner-to-corner
DT_halfdiallel

half diallel data for corn hybrids
fixm

fixed indication matrix
DT_expdesigns

Data for different experimental designs
DT_fulldiallel

Full diallel data for corn hybrids
EM

Expectation Maximization Algorithm
MEMMA

Multivariate Efficient Mixed Model Association Algorithm
build.HMM

Build a hybrid marker matrix using parental genotypes
jet.colors

Generate a sequence of colors alog the jet colormap.
leg

Legendre polynomial matrix
list2usmat

list or vector to unstructured matrix
coef.mmer

coef form a GLMM fitted with mmer
GWAS

Genome wide association study analysis
cs

customized covariance structure
ds

diagonal covariance structure
GWAS2

Genome wide association study
manhattan

Creating a manhattan plot
mmer

mixed model equations in R
map.plot

Creating a genetic map plot
simGECorMat

Create a GE correlation matrix for simulation purposes.
sommer-package

Solving Mixed Model Equations in R Figure: mai.png
at

at covariance structure
DT_yatesoats

Yield of oats in a split-block experiment
spatPlots

Spatial plots
fcm

fixed effect constraint indication matrix
atcg1234

Letter to number converter
spl2D

Two-dimensional penalised tensor-product of marginal B-Spline basis.
fill.design

Filling the design of an experiment
residuals.mmer

Residuals form a GLMM fitted with mmer
randef

extracting random effects
vs

variance structure specification
transp

Creating color with transparency
uncm

unconstrained indication matrix
E.mat

Epistatic relationship matrix
bivariateRun

bivariateRun functionality
bathy.colors

Generate a sequence of colors for plotting bathymetric data.
h2.fun

Obtain heritabilities with three different methods
imputev

Imputing a numeric or character vector
mmer2

mixed model equations in R
us

unstructured covariance structure
overlay

Overlay Matrix
plot.mmer

plot form a LMM plot with mmer
unsm

unstructured indication matrix
predict.mmer

Predict form a LMM fitted with mmer
pedtoK

Pedigree to matrix
transformConstraints

transformConstraints
pin

pin functionality
summary.mmer

summary form a GLMM fitted with mmer