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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mind/json (API)

# Install 'mind' in R:
install.packages('mind', repos = c('https://andrea-fasulo.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • data_s - Synthetic sample dataset for Multivatiate Linear Mixed Model
  • univ - Synthetic population dataset for Multivatiate Linear Mixed Model

On CRAN:

Conda:

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

1.72 score 26 scripts 296 downloads 2 mentions 3 exports 122 dependencies

Last updated 2 years agofrom:7ca106c89b. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-winOKApr 01 2025
R-4.5-macOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-winOKApr 01 2025
R-4.4-macOKApr 01 2025
R-4.4-linuxOKApr 01 2025
R-4.3-winOKApr 01 2025
R-4.3-macOKApr 01 2025

Exports:benchSAEmind.unitpredict.mind

Dependencies:abindbackportsBHbitbit64bootbroomcarcarDataclicliprcodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdigestdoBydplyremmeansestimabilityextraoperatorsfansifarverforcatsforeachFormulafstfstcoregamlssgamlss.datagamlss.distgenericsggplot2ggpubrggrepelggsciggsignifglmnetglueGPArotationgridExtragtablehavenhmsisobanditeratorsjomoJWileymisclabelinglatticelavaanlifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicemicrobenchmarkminqamitmlmnormtmodelrmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivordinalpanpbivnormpbkrtestpillarpkgconfigpolynomprettyunitsprogresspsychpurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangrobustbaserpartrstatixscalesshapeslamSparseMstringistringrsurvivaltibbletidyrtidyselecttmtzdbucminfutf8vctrsVGAMviridisLitevroomwithrxml2