Package: MDMR 0.5.1
MDMR: Multivariate Distance Matrix Regression
This package allows users to conduct multivariate distance matrix regression using analytic p-values and compute measures of effect size. For details on the method, see McArtor, Lubke, & Bergeman (2017) <https://doi.org/10.1007/s11336-016-9527-8>.
Authors:
MDMR_0.5.1.tar.gz
MDMR_0.5.1.zip(r-4.5)MDMR_0.5.1.zip(r-4.4)MDMR_0.5.1.zip(r-4.3)
MDMR_0.5.1.tgz(r-4.4-any)MDMR_0.5.1.tgz(r-4.3-any)
MDMR_0.5.1.tar.gz(r-4.5-noble)MDMR_0.5.1.tar.gz(r-4.4-noble)
MDMR_0.5.1.tgz(r-4.4-emscripten)MDMR_0.5.1.tgz(r-4.3-emscripten)
MDMR.pdf |MDMR.html✨
MDMR/json (API)
# Install 'MDMR' in R: |
install.packages('MDMR', repos = c('https://dmcartor.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dmcartor/mdmr/issues
Last updated 7 years agofrom:458d979a0a. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | NOTE | Nov 21 2024 |
R-4.5-linux | NOTE | Nov 21 2024 |
R-4.4-win | OK | Nov 21 2024 |
R-4.4-mac | OK | Nov 21 2024 |
R-4.3-win | OK | Nov 21 2024 |
R-4.3-mac | OK | Nov 21 2024 |
Exports:deltagowermdmrmixed.mdmr
Dependencies:abindbackportsbootbroomcarcarDataclicolorspaceCompQuadFormcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Multivariate Distance Matrix Regression | MDMR-package MDMR |
Compute univariate MDMR effect sizes | delta |
Compute Gower's centered similarity matrix from a distance matrix | gower |
Conduct MDMR with analytic p-values | mdmr |
Fit Mixed-MDMR models | mixed.mdmr |
Print MDMR Object | print.mdmr |
Print Mixed MDMR Object | print.mixed.mdmr |
Summarizing MDMR Results | summary.mdmr |
Summarizing Mixed MDMR Results | summary.mixed.mdmr |
Simulated clustered predictor data to illustrate the Mixed-MDMR function | X.clust |
Simulated predictor data to illustrate the MDMR package. | X.mdmr |
Simulated clustered outcome data to illustrate the Mixed-MDMR function | Y.clust |
Simulated outcome data to illustrate the MDMR package. | Y.mdmr |