Other packages > Find by keyword >

mvMISE  

A General Framework of Multivariate Mixed-Effects Selection Models
View on CRAN: Click here


Download and install mvMISE package within the R console
Install from CRAN:
install.packages("mvMISE")

Install from Github:
library("remotes")
install_github("cran/mvMISE")

Install by package version:
library("remotes")
install_version("mvMISE", "1.0")



Attach the package and use:
library("mvMISE")
Maintained by
Jiebiao Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-10
Latest Update: 2018-06-10
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) . 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.
How to cite:
Jiebiao Wang (2018). mvMISE: A General Framework of Multivariate Mixed-Effects Selection Models. R package version 1.0, https://cran.r-project.org/web/packages/mvMISE. Accessed 26 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited mvMISE R package
View mvMISE citation profile
Other R packages that mvMISE depends, imports, suggests or enhances
Complete documentation for mvMISE
Functions, R codes and Examples using the mvMISE R package
Some associated functions: mvMISE_b . mvMISE_e . mvMISE_e_perm . sim_dat . 
Some associated R codes: Full mvMISE package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

MARSS  
Multivariate Autoregressive State-Space Modeling
The MARSS package provides maximum-likelihood parameter estimation for constrained and unconstraine ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
rts2  
Log-Gaussian Cox Process Models with Approximations
Supports modelling real-time case data to facilitate the real-time surveillance of infectious disea ...
Download / Learn more Package Citations See dependency  
LSDsensitivity  
Sensitivity Analysis Tools for 'LSD' Simulations
Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD ...
Download / Learn more Package Citations See dependency  
SADEG  
Stability Analysis in Differentially Expressed Genes
We analyzed the nucleotide composition of genes with a special emphasis on stability of DNA sequence ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA