Other packages > Find by keyword >

mdgc  

Missing Data Imputation Using Gaussian Copulas
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mdgc", "0.1.7")



Attach the package and use:
library("mdgc")
Maintained by
Benjamin Christoffersen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2023-05-04
Description:
Provides functions to impute missing values using Gaussian copulas for mixed data types as described by Christoffersen et al. (2021) . The method is related to Hoff (2007) and Zhao and Udell (2019) but differs by making a direct approximation of the log marginal likelihood using an extended version of the Fortran code created by Genz and Bretz (2002) in addition to also support multinomial variables.
How to cite:
Benjamin Christoffersen (2021). mdgc: Missing Data Imputation Using Gaussian Copulas. R package version 0.1.7, https://cran.r-project.org/web/packages/mdgc. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:29), 0.1.1 (2021-02-17 11:20), 0.1.2 (2021-02-26 22:40), 0.1.3 (2021-03-04 08:50), 0.1.4 (2021-03-12 22:50), 0.1.5 (2021-06-14 09:50), 0.1.6 (2022-09-10 20:22)
Other packages that cited mdgc R package
View mdgc citation profile
Other R packages that mdgc depends, imports, suggests or enhances
Complete documentation for mdgc
Functions, R codes and Examples using the mdgc R package
Some associated functions: get_mdgc . get_mdgc_log_ml . mdgc-package . mdgc . mdgc_fit . mdgc_impute . mdgc_log_ml . mdgc_start_value . 
Some associated R codes: RcppExports.R . catch-routine-registration.R . mdgc-package.R . mdgc.R .  Full mdgc package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
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  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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