Package: metahdep 1.65.0
metahdep: Hierarchical Dependence in Meta-Analysis
Tools for meta-analysis in the presence of hierarchical (and/or sampling) dependence, including with gene expression studies
Authors:
metahdep_1.65.0.tar.gz
metahdep_1.65.0.zip(r-4.5)metahdep_1.65.0.zip(r-4.4)metahdep_1.65.0.zip(r-4.3)
metahdep_1.65.0.tgz(r-4.4-x86_64)metahdep_1.65.0.tgz(r-4.3-x86_64)
metahdep_1.65.0.tar.gz(r-4.5-noble)metahdep_1.65.0.tar.gz(r-4.4-noble)
metahdep.pdf |metahdep.html✨
metahdep/json (API)
# Install 'metahdep' in R: |
install.packages('metahdep', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- HGU.DifExp.list - HGU.DifExp.list: A list of 4 ES.obj objects
- HGU.newnames - HGU.newnames
- HGU.prep.list - HGU.prep.list
- gloss.Table1 - Gloss: Data from the JEBS glossing paper
- gloss.V - Gloss: Data from the JEBS glossing paper
- gloss.X - Gloss: Data from the JEBS glossing paper
- gloss.theta - Gloss: Data from the JEBS glossing paper
On BioConductor:metahdep-1.63.0(bioc 3.20)metahdep-1.62.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraydifferentialexpression
Last updated 20 days agofrom:c7cca38eea. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win-x86_64 | WARNING | Oct 30 2024 |
R-4.5-linux-x86_64 | WARNING | Oct 30 2024 |
R-4.4-win-x86_64 | WARNING | Oct 30 2024 |
R-4.4-mac-x86_64 | WARNING | Oct 30 2024 |
R-4.3-win-x86_64 | WARNING | Oct 30 2024 |
R-4.3-mac-x86_64 | WARNING | Oct 30 2024 |
Exports:center.columnsget.Mget.varsigma.vgetPLM.esidLinMod.HBLM.fast.depLinMod.MetAn.dep.FEMALinMod.MetAn.dep.REMALinMod.REMA.delta.splitLinMod.REMA.depmetahdepmetahdep.check.Xmetahdep.FEMAmetahdep.formatmetahdep.HBLMmetahdep.list2dataframemetahdep.REMAmodnew.LinMod.HBLM.fast.dep.delta.splittr
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Class ES.obj | ES.obj-class |
getPLM.es | getPLM.es |
gloss: Data from the JEBS glossing paper | gloss gloss.Table1 gloss.theta gloss.V gloss.X |
HGU.DifExp.list: A list of 4 ES.obj objects | HGU.DifExp.list |
HGU.newnames | HGU.newnames |
HGU.prep.list | HGU.prep.list |
metahdep | metahdep |
metahdep.FEMA | metahdep.FEMA |
metahdep.format | metahdep.format |
metahdep.HBLM | metahdep.HBLM |
metahdep.other | center.columns get.M get.varsigma.v id LinMod.HBLM.fast.dep LinMod.MetAn.dep.FEMA LinMod.MetAn.dep.REMA LinMod.REMA.delta.split LinMod.REMA.dep metahdep.check.X metahdep.list2dataframe mod new.LinMod.HBLM.fast.dep.delta.split tr |
metahdep.REMA | metahdep.REMA |
Class metaprep | metaprep-class |