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mvMISE

A General Framework of Multivariate Mixed-Effects Selection Models

v1.0 · Jun 10, 2018 · GPL

Description

Offers a general framework of multivariate mixed-effects models for the joint analysis of multiple correlated outcomes with clustered data structures and potential missingness proposed by Wang et al. (2018) <doi:10.1093/biostatistics/kxy022>. The missingness of outcome values may depend on the values themselves (missing not at random and non-ignorable), or may depend on only the covariates (missing at random and ignorable), or both. This package provides functions for two models: 1) mvMISE_b() allows correlated outcome-specific random intercepts with a factor-analytic structure, and 2) mvMISE_e() allows the correlated outcome-specific error terms with a graphical lasso penalty on the error precision matrix. Both functions are motivated by the multivariate data analysis on data with clustered structures from labelling-based quantitative proteomic studies. These models and functions can also be applied to univariate and multivariate analyses of clustered data with balanced or unbalanced design and no missingness.

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Maintainer: ‘Jiebiao Wang <randel.wang@gmail.com>’

No Authors@R field in DESCRIPTION.
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  Authors@R: c(person(given = "Jiebiao",
                      family = "Wang",
                      role = c("aut", "cre"),
                      email = "randel.wang@gmail.com"),
               person(given = c("Lin", "S."),
                      family = "Chen",
                      role = "aut"))
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Maintainer: ‘Jiebiao Wang <randel.wang@gmail.com>’

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  Authors@R: c(person(given = "Jiebiao",
                      family = "Wang",
                      role = c("aut", "cre"),
                      email = "randel.wang@gmail.com"),
               person(given = c("Lin", "S."),
                      family = "Chen",
                      role = "aut"))
as necessary.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Jiebiao Wang <randel.wang@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Jiebiao",
                      family = "Wang",
                      role = c("aut", "cre"),
                      email = "randel.wang@gmail.com"),
               person(given = c("Lin", "S."),
                      family = "Chen",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Jiebiao Wang <randel.wang@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Jiebiao",
                      family = "Wang",
                      role = c("aut", "cre"),
                      email = "randel.wang@gmail.com"),
               person(given = c("Lin", "S."),
                      family = "Chen",
                      role = "aut"))
as necessary.

Dependency Network

Dependencies Reverse dependencies lme4 MASS mvMISE

Version History

new 1.0 Mar 10, 2026