Package: gemma2 0.1.3
gemma2: GEMMA Multivariate Linear Mixed Model
Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (2014) (<https://www.nature.com/articles/nmeth.2848>). Of particular interest is the estimation of variance components with restricted maximum likelihood (REML) methods. Genome-wide efficient mixed-model association (GEMMA), as implemented in the package 'gemma2', uses an expectation-maximization algorithm for variance components inference for use in quantitative trait locus studies.
Authors:
gemma2_0.1.3.tar.gz
gemma2_0.1.3.zip(r-4.5)gemma2_0.1.3.zip(r-4.4)gemma2_0.1.3.zip(r-4.3)
gemma2_0.1.3.tgz(r-4.4-any)gemma2_0.1.3.tgz(r-4.3-any)
gemma2_0.1.3.tar.gz(r-4.5-noble)gemma2_0.1.3.tar.gz(r-4.4-noble)
gemma2_0.1.3.tgz(r-4.4-emscripten)gemma2_0.1.3.tgz(r-4.3-emscripten)
gemma2.pdf |gemma2.html✨
gemma2/json (API)
NEWS
# Install 'gemma2' in R: |
install.packages('gemma2', repos = c('https://fboehm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fboehm/gemma2/issues
em-algorithmgeneticsmixed-models
Last updated 4 years agofrom:ea3052f860. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | NOTE | Oct 29 2024 |
R-4.5-linux | NOTE | Oct 29 2024 |
R-4.4-win | NOTE | Oct 29 2024 |
R-4.4-mac | NOTE | Oct 29 2024 |
R-4.3-win | NOTE | Oct 29 2024 |
R-4.3-mac | NOTE | Oct 29 2024 |
Exports:calc_omegacalc_qicalc_XHiYcenter_kinshipeigen_proceigen2MphEMstagger_matsupdate_u
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate Omega matrices | calc_omega |
Calculate Qi (inverse of Q) and log determinant of Q | calc_qi |
Calculate Sigma_ee and Sigma_uu matrices | calc_sigma |
Calculate XHiY | calc_XHiY |
Center a relatedness matrix, after Zhou's GEMMA function CenterMatrix | center_kinship |
Eigendecomposition procedure for Vg and Ve | eigen_proc |
Calculate eigendecomposition and return ordered eigenvalues and eigenvectors | eigen2 |
gemma2 | gemma2 |
Calculate log likelihood | MphCalcLogL |
Perform expectation-maximization algorithm to infer Vg and Ve values for a pair of traits. | MphEM |
Stagger matrices within a larger, block-diagonal matrix | stagger_mats |
Update E | update_e |
Update U matrix | update_u |
Update V_e and V_g | update_v |
Update B for restricted log likelihood | UpdateRL_B |