Package: NAM 1.7.4
NAM: Nested Association Mapping
Designed for association studies in nested association mapping (NAM) panels, experimental and random panels. The method is described by Xavier et al. (2015) <doi:10.1093/bioinformatics/btv448>. It includes tools for genome-wide associations of multiple populations, marker quality control, population genetics analysis, genome-wide prediction, solving mixed models and finding variance components through likelihood and Bayesian methods.
Authors:
NAM_1.7.4.tar.gz
NAM_1.7.4.zip(r-4.5)NAM_1.7.4.zip(r-4.4)NAM_1.7.4.zip(r-4.3)
NAM_1.7.4.tgz(r-4.4-x86_64)NAM_1.7.4.tgz(r-4.4-arm64)NAM_1.7.4.tgz(r-4.3-x86_64)NAM_1.7.4.tgz(r-4.3-arm64)
NAM_1.7.4.tar.gz(r-4.5-noble)NAM_1.7.4.tar.gz(r-4.4-noble)
NAM_1.7.4.tgz(r-4.4-emscripten)NAM_1.7.4.tgz(r-4.3-emscripten)
NAM.pdf |NAM.html✨
NAM/json (API)
# Install 'NAM' in R: |
install.packages('NAM', repos = c('https://alenxav.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alenxav/nam/issues
Last updated 5 years agofrom:842fbe75f0. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win-x86_64 | NOTE | Nov 04 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 04 2024 |
R-4.4-win-x86_64 | NOTE | Nov 04 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 04 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 04 2024 |
R-4.3-win-x86_64 | NOTE | Nov 04 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 04 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 04 2024 |
Exports:bencalcSizecleanREPCNTcovareigXemBAemBBemBCemBLemCVemDEemENemRRFstfunIfunXG2A_KernelsGAUGdistgibbsgibbs2gmmgsgwasgwas2gwas3gwasGEIMPImport_datainputRowKMUPKMUP2LDmarkovMCremlmeta3mlMSXNNcovNNsrcNORPedMatPedMat2plot.fstplot.gibbsplot.H2plot.NAMpressreferenceremlSAMPSAMP2snpH2snpQCSPCtimesMatrixtimesVecwgr
Dependencies:Rcpp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Nested Association Mapping | NAM-package NAM |
Tetra-seed Pods | chr fam gen tpod y |
Multi-environmental trial | Gen met Obs |
Fixation Index | Fst plot.fst |
Empirical Bayes Genome Wide Association Mapping | gwas gwas2 gwas3 gwasGE meta3 |
Genome-wide prediction | ben wgr |
Manhattan plot for Association Studies | plot.NAM |
Bayesian Mixed Model | gibbs gibbs2 ml plot.gibbs |
Restricted Maximum Likelihood | MCreml reml |
Genomic mixed model | gmm |
Internal functions | BCpi BRR2 calcSize CNT covar eigX emBA emBB emBC emBD emBL emCV emDE emEN emGWA emML emML2 emMX emRR funI funX G2A_Kernels GAU Gdist GRM gs IMP Import_data inputRow KMUP KMUP2 LD markov mkr mkr2X mrr mrr2X mrrFast mrrV2 MSX NNcov NNsrc NOR PedMat PedMat2 press RcppExports SAMP SAMP2 SPC SPM timesMatrix timesVec |
SNP heritability | plot.H2 snpH2 |
SNP Quality Control | cleanREP reference snpQC |