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 05 Aug. 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

noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
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  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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