Package: mimi 0.2.0
Genevieve Robin
mimi: Main Effects and Interactions in Mixed and Incomplete Data
Generalized low-rank models for mixed and incomplete data frames. The main function may be used for dimensionality reduction of imputation of numeric, binary and count data (simultaneously). Main effects such as column means, group effects, or effects of row-column side information (e.g. user/item attributes in recommendation system) may also be modelled in addition to the low-rank model. Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines, Robert Tibshirani (2018) <arxiv:1806.09734>.
Authors:
mimi_0.2.0.tar.gz
mimi_0.2.0.tar.gz(r-4.5-noble)mimi_0.2.0.tar.gz(r-4.4-noble)
mimi_0.2.0.tgz(r-4.4-emscripten)mimi_0.2.0.tgz(r-4.3-emscripten)
mimi.pdf |mimi.html✨
mimi/json (API)
# Install 'mimi' in R: |
install.packages('mimi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- acs2016 - Excerpt of the 2016 Public Use American Census Survey
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:2cb9df09ae. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 22 2024 |
R-4.5-linux | NOTE | Oct 22 2024 |
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercodetoolscolorspacecowplotcpp11crosstalkdata.tableDerivdigestdoBydoParalleldplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeforeachFormulafsgenericsggplot2ggrepelglmnetgluegtablehighrhtmltoolshtmlwidgetshttpuvisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrARPACKRColorBrewerRcppRcppEigenrlangrmarkdownRSpectrasassscalesscatterplot3dshapesoftImputeSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml