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:
mind_1.1.0.tar.gz
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mind.pdf |mind.html✨
mind/json (API)
# Install 'mind' in R: |
install.packages('mind', repos = c('https://andrea-fasulo.r-universe.dev', 'https://cloud.r-project.org')) |
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:7ca106c89b. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Apr 01 2025 |
R-4.5-win | OK | Apr 01 2025 |
R-4.5-mac | OK | Apr 01 2025 |
R-4.5-linux | OK | Apr 01 2025 |
R-4.4-win | OK | Apr 01 2025 |
R-4.4-mac | OK | Apr 01 2025 |
R-4.4-linux | OK | Apr 01 2025 |
R-4.3-win | OK | Apr 01 2025 |
R-4.3-mac | OK | Apr 01 2025 |
Exports:benchSAEmind.unitpredict.mind
Dependencies:abindbackportsBHbitbit64bootbroomcarcarDataclicliprcodetoolscolorspacecorrplotcowplotcpp11crayondata.tableDEoptimRDerivdigestdoBydplyremmeansestimabilityextraoperatorsfansifarverforcatsforeachFormulafstfstcoregamlssgamlss.datagamlss.distgenericsggplot2ggpubrggrepelggsciggsignifglmnetglueGPArotationgridExtragtablehavenhmsisobanditeratorsjomoJWileymisclabelinglatticelavaanlifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicemicrobenchmarkminqamitmlmnormtmodelrmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivordinalpanpbivnormpbkrtestpillarpkgconfigpolynomprettyunitsprogresspsychpurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangrobustbaserpartrstatixscalesshapeslamSparseMstringistringrsurvivaltibbletidyrtidyselecttmtzdbucminfutf8vctrsVGAMviridisLitevroomwithrxml2