R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
sommer
Solving Mixed Model Equations in R
View on CRAN: Click
here
Download and install sommer package within the R console
Install from CRAN:
install.packages("sommer")
Install from Github:
library("remotes")
install_github("cran/sommer") Install by package version:
library("remotes")
install_version("sommer", "4.4.4") Attach the package and use:
library("sommer")
Maintained by
Giovanny Covarrubias-Pazaran
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-24
Latest Update: 2025-07-30
Description:
Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
How to cite:
Giovanny Covarrubias-Pazaran (2016). sommer: Solving Mixed Model Equations in R. R package version 4.4.4, https://cran.r-project.org/web/packages/sommer. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 12:20), 1.1 (2016-01-24 21:22), 1.2 (2016-02-07 09:36), 1.3 (2016-03-10 00:06), 1.4 (2016-03-25 00:43), 1.5 (2016-05-03 02:09), 1.6 (2016-05-19 16:29), 1.7 (2016-05-24 00:37), 1.8 (2016-06-06 23:47), 1.9 (2016-07-01 10:57), 2.0 (2016-07-29 00:11), 2.1 (2016-08-31 08:23), 2.2 (2016-10-02 02:01), 2.3 (2016-11-01 11:07), 2.4 (2016-12-01 21:12), 2.5 (2017-01-03 06:19), 2.6 (2017-03-02 08:09), 2.7 (2017-04-15 15:53), 2.8 (2017-06-07 00:14), 2.9 (2017-07-08 23:18), 3.0 (2017-08-24 10:25), 3.1 (2017-10-29 23:05), 3.2 (2018-01-09 21:37), 3.3 (2018-03-05 23:26), 3.4 (2018-04-06 22:58), 3.5 (2018-07-02 20:50), 3.6 (2018-10-08 21:00), 3.7.1 (2018-12-07 08:40), 3.7.2 (2018-12-09 15:50), 3.7.3 (2018-12-10 01:00), 3.7 (2018-12-04 11:20), 3.8 (2019-01-02 20:20), 3.9.1 (2019-03-26 00:00), 3.9.3 (2019-04-04 00:12), 4.0.1 (2019-07-02 19:10), 4.0.4 (2019-08-24 18:20), 4.0.8 (2019-11-01 07:10), 4.0.9 (2020-02-07 07:30), 4.1.0 (2020-06-16 18:30), 4.1.1 (2020-09-30 09:50), 4.1.2 (2021-01-06 17:00), 4.1.3 (2021-04-05 15:50), 4.1.4 (2021-07-29 19:00), 4.1.5 (2021-12-15 05:00), 4.1.6 (2022-04-17 07:20), 4.1.7 (2022-06-16 17:10), 4.1.8 (2022-09-06 06:30), 4.1.9 (2022-09-09 09:20), 4.2.0.1 (2023-01-08 11:20), 4.2.0 (2022-09-11 00:10), 4.2.1.2 (2023-04-07 19:50), 4.3.0 (2023-05-11 07:00), 4.3.1 (2023-06-14 10:30), 4.3.2 (2023-08-11 01:10), 4.3.3 (2023-11-13 07:20), 4.3.4 (2024-03-17 06:30), 4.3.5 (2024-07-31 10:50), 4.3.6 (2024-10-20 07:30), 4.3.7 (2025-02-03 18:20), 4.4.1 (2025-04-04 21:00), 4.4.2 (2025-05-26 22:30), 4.4.3 (2025-07-30 06:50), 4.4.4 (2025-11-26 07:20), 4.4.5 (2026-03-25 07:10)
Other packages that cited sommer R package
View sommer citation profile
Other R packages that sommer depends,
imports, suggests or enhances
Complete documentation for sommer
Functions, R codes and Examples using
the sommer R package
Some associated functions: A.mat . AI . AR1mat . ARMAmat . CSmat . D.mat . DT_augment . DT_btdata . DT_cornhybrids . DT_cpdata . DT_example . DT_expdesigns . DT_fulldiallel . DT_gryphon . DT_h2 . DT_halfdiallel . DT_ige . DT_legendre . DT_mohring . DT_polyploid . DT_rice . DT_sleepstudy . DT_technow . DT_wheat . DT_yatesoats . E.mat . EM . EMMA . GWAS . H.mat . LD.decay . add.diallel.vars . adiag1 . anova_mmec . anova_mmer . atc . atcg1234 . atr . bathy.colors . bbasis . bivariateRun . build.HMM . coef_mmec . coef_mmer . corImputation . covc . csc . csr . dfToMatrix . dsc . dsr . fcm . fitted_mmec . fitted_mmer . fixm . gvsr . impute . isc . jet.colors . leg . list2usmat . logspace . manhattan . map.plot . mmec . mmer . neMarker . overlay . plot.monitor . plot_mmec . plot_mmer . predict_mmec . predict_mmer . r2 . randef . redmm . residuals_mmec . residuals_mmer . rrc . simGECorMat . sommer-package . spl2Da . spl2Db . spl2Dc . spl2Dmats . stackTrait . summary_mmec . summary_mmer . tpsmmbwrapper . transformConstraints . transp . unsm . usc . usr . vpredict . vs . vsc . vsr . wald .
Some associated R codes: FUN_algorithms.R . FUN_emmeans.R . FUN_markers.R . FUN_plotting.R . FUN_relationships.R . FUN_spatial_a.R . FUN_spatial_b.R . FUN_spatial_c.R . FUN_special.R . FUN_stats.R . FUN_utils.R . FUN_vsc.R . FUN_vsgrvsr.R . GWAS.R . RcppExports.R . mmec.R . mmer.R . predict_mmec.R . predict_mmer.R . vpredict.R . Full sommer package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
SelvarMix
Regularization for Variable Selection in Model-Based Clustering
and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mohammed Sedki (view profile)
RCytoGPS
Using Cytogenetics Data in R
Defines classes and methods to process text-based
cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kevin R. Coombes (view profile)
ncodeR
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Cody L Marquart (view profile)
leafgl
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Tim Appelhans (view profile)
PCADSC
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures
for two datase ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Anne H. Petersen (view profile)
clinUtils
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import,
the reporting and analysis of clinical data.
Example ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laure Cougnaud (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
