Package: mind 1.1.0

mind: Multivariate Model Based Inference for Domains

Allows users to produce estimates and MSE for multivariate variables using Linear Mixed Model. The package follows the approach of Datta, Day and Basawa (1999) <doi:10.1016/S0378-3758(98)00147-5>.

Authors:Michele D'Alo' [aut], Stefano Falorsi [aut], Andrea Fasulo [aut, cre]

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Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.71 score 151 dependencies 2 mentions 22 scripts 279 downloads

Last updated 2 years agofrom:7ca106c89b. Checks:OK: 7. Indexed: yes.

Exports:benchSAEmind.unitpredict.mind

Dependencies:abindbackportsbase64encBHbitbit64bootbroombslibcachemcarcarDatacheckmateclicliprclustercodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdigestdoBydplyremmeansestimabilityevaluateextraoperatorsfansifarverfastmapfontawesomeforcatsforeachforeignFormulafsfstfstcoregenericsggplot2ggpubrggrepelggsciggsignifggthemesglmnetglueGPArotationgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjomojquerylibjsonliteJWileymiscknitrlabelinglatticelavaanlifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicemicrobenchmarkmimeminqamitmlmnormtmodelrmultcompmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivordinalpanpbivnormpbkrtestpillarpkgconfigpolsplinepolynomprettyunitsprogresspsychpurrrquadprogquantregR6rappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrmsrobustbaserpartrstatixrstudioapisandwichsassscalesshapeslamSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttinytextmtzdbucminfutf8vctrsVGAMviridisviridisLitevroomwithrxfunxml2yamlzoo