Package: qtlmt 0.1-6
Riyan Cheng
qtlmt: Tools for Mapping Multiple Complex Traits
Provides tools for joint analysis of multiple traits in a backcross (BC) or recombinant inbred lines (RIL) population. It can be used to select an optimal subset of traits for multiple-trait mapping, analyze multiple traits via the SURE model, which can associate different QTL with different traits, and perform multiple-trait composite multiple-interval mapping.
Authors:
qtlmt_0.1-6.tar.gz
qtlmt_0.1-6.tar.gz(r-4.5-noble)qtlmt_0.1-6.tar.gz(r-4.4-noble)
qtlmt_0.1-6.tgz(r-4.4-emscripten)qtlmt_0.1-6.tgz(r-4.3-emscripten)
qtlmt.pdf |qtlmt.html✨
qtlmt/json (API)
| # Install 'qtlmt' in R: |
| install.packages('qtlmt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:6bdeef3c5e. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 10 2024 |
| R-4.5-linux-x86_64 | OK | Sep 10 2024 |
Exports:gv2mposmAdd1mDrop1mlogLikmStepmtcmimmtcmimAdd1mtcmimDrop1mtcmimStepqeffsureAdd1sureDrop1sureEpssureEstsureStepsurStepvarAdd1varDrop1varGroupvarSelectvarStepvarT2xeffxid1ch
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Data sets | dists eps eqtl gdat gmap maps markers mdat mpos qtl traits v xid |
| Add or drop all possible terms | mAdd1 mDrop1 |
| Miscellaneous functions | gv2mpos qeff xeff xid1ch |
| Extract log-likelihood | mlogLik |
| Model selection in multivariate multiple regression | mStep |
| MTCMIM | mtcmim |
| MTCMIM model selection | mtcmimAdd1 mtcmimDrop1 mtcmimStep mtcmimStep2 |
| Epistasis in a SURE model | sureEps |
| SURE model parameter estimation | sureEst |
| SURE model selection | sureAdd1 sureDrop1 sureStep surStep |
| Group variables | varGroup |
| Variable selection | varSelect |
| Variable selection | varAdd1 varDrop1 varStep |
| Hotelling's T^2 test statistic | varT2 |