CRAN/E | mdgc

mdgc

Missing Data Imputation Using Gaussian Copulas

Installation

About

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) doi:10.1214/07-AOAS107 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) doi:10.1198/106186002394 in addition to also support multinomial variables.

github.com/boennecd/mdgc
Bug report File report

Key Metrics

Version 0.1.7
R ≥ 3.5.0
Published 2023-05-04 365 days ago
Needs compilation? yes
License GPL-2
CRAN checks mdgc results

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Maintainer

Maintainer

Benjamin Christoffersen

boennecd@gmail.com

Authors

Benjamin Christoffersen

cre / aut

Alan Genz

cph

Frank Bretz

cph

Torsten Hothorn

cph

R-core

cph

Ross Ihaka

cph

Material

NEWS
Reference manual
Package source

In Views

MissingData

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mdgc archive

Depends

R ≥ 3.5.0

Imports

Rcpp

Suggests

testthat
catdata

LinkingTo

Rcpp
RcppArmadillo
testthat
BH
psqn