Package: mvdalab 1.7
Nelson Lee Afanador
mvdalab: Multivariate Data Analysis Laboratory
An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users). Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.
Authors:
mvdalab_1.7.tar.gz
mvdalab_1.7.tar.gz(r-4.5-noble)mvdalab_1.7.tar.gz(r-4.4-noble)
mvdalab_1.7.tgz(r-4.4-emscripten)mvdalab_1.7.tgz(r-4.3-emscripten)
mvdalab.pdf |mvdalab.html✨
mvdalab/json (API)
NEWS
# Install 'mvdalab' in R: |
install.packages('mvdalab', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- College - Data for College Level Examination Program and the College Qualification Test
- Penta - Penta data set
- Wang_Chen - Bivariate process data.
- Wang_Chen_Sim - Simulated process data from a plastics manufacturer.
- plusMinusDat - PlusMinusDat data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:21e9983ecc. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 11 2024 |
R-4.5-linux | OK | Oct 11 2024 |
Exports:acfplotap.plotbca.cisbidiagpls.fitBiPlotboot.plotscoef.mvdaregcoefficients.bootscoefficients.mvdaregcoefficientsplot2Dcoefsplotcontr.nietsellipse.mvdalabimputeBasicimputeEMimputeQsimputeRoughintroNAsjk.after.bootloadings.bootsloadings.mvdaregloadingsplotloadingsplot2Dmewmamodel.matrix.mvdaregMultCapabilityMVcisMVCompmvdabootmvdaloomvrnorm.svdmvrnormBase.svdmy.dummy.dfno.interceptpca.nipalspcaFitPEperc.cisplot.cpplot.mvcompplot.mvdapcaplot.mvdaregplot.plusminusplot.R2splot.smcplot.srplot.wrtplsplsFitplusminus.fitplusminus.looplusminusFitpredict.mvdaregprint.empcaprint.mvcompprint.mvdapcaprint.mvdaregprint.npcaprint.plusminusprint.proCprint.R2sprint.roughImputationprint.seqemprint.smcprint.srproCrustesR2sScoreContribscoresplotSeqimputeEMsmcsmc.acfTestsmc.errorsmc.modeledsrsr.errorsr.modeledsummary.mvdaregsummary.plusminusT2weight.bootsweights.mvdaregweightsplotweightsplot2Dwrtpls.fitXresidsXresidualContriby.loadingsy.loadings.boots
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamnormtmodelrmomentsmunsellnlmenloptrnnetnumDerivpbkrtestpenalizedpillarpkgconfigplyrpurrrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalessnSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr