Other packages > Find by keyword >

rCISSVAE  

Clustering-Informed Shared-Structure VAE for Imputation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rCISSVAE", "0.0.4")



Attach the package and use:
library("rCISSVAE")
Maintained by
Danielle Vaithilingam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-23
Latest Update: 2026-01-23
Description:
Implements the Clustering-Informed Shared-Structure Variational Autoencoder ('CISS-VAE'), a deep learning framework for missing data imputation introduced in Khadem Charvadeh et al. (2025) <doi:10.1002/sim.70335>. The model accommodates all three types of missing data mechanisms: Missing Completely At Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR). While it is particularly well-suited to MNAR scenarios, where missingness patterns carry informative signals, 'CISS-VAE' also functions effectively under MAR assumptions.
How to cite:
Danielle Vaithilingam (2026). rCISSVAE: Clustering-Informed Shared-Structure VAE for Imputation. R package version 0.0.4, https://cran.r-project.org/web/packages/rCISSVAE. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.0.4 (2026-01-23 22:20)
Other packages that cited rCISSVAE R package
View rCISSVAE citation profile
Other R packages that rCISSVAE depends, imports, suggests or enhances
Complete documentation for rCISSVAE
Functions, R codes and Examples using the rCISSVAE R package
Full rCISSVAE package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
gena  
Genetic Algorithm and Particle Swarm Optimization
Implements genetic algorithm and particle swarm algorithm for real-valued functions. Various modific ...
Download / Learn more Package Citations See dependency  
plyr  
Tools for Splitting, Applying and Combining Data
A set of tools that solves a common set of problems: you need to break a big problem down into mana ...
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  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

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