| Name : R-mvMISE
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.12.1
| Date : 2024-06-20 12:19:50
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| Group : Development/Libraries/Other
| Source RPM : R-mvMISE-1.0-lp154.12.1.src.rpm
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| Size : 0.07 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : A General Framework of Multivariate Mixed-Effects Selection Models
|
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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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
