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 15 Sep. 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

SiER  
Signal Extraction Approach for Sparse Multivariate Response Regression
Methods for regression with high-dimensional predictors andunivariate or maltivariate response varia ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
functClust  
Functional Clustering of Redundant Components of a System
Cluster together the components that make up an interactivesystem on the basis of their functional r ...
Download / Learn more Package Citations See dependency  
RXshrink  
Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression
Functions are provided to calculate and display ridge TRACE Diagnostics for a variety of alternativ ...
Download / Learn more Package Citations See dependency  
CTTinShiny  
Shiny Interface for the CTT Package
A Shiny interface developed in close coordination with the CTT package, providing a GUI that guides ...
Download / Learn more Package Citations See dependency  
AFR  
Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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