Package: mdgc 0.1.7
Benjamin Christoffersen
mdgc: Missing Data Imputation Using Gaussian Copulas
Provides functions to impute missing values using Gaussian copulas for mixed data types as described by Christoffersen et al. (2021) <arxiv:2102.02642>. The method is related to Hoff (2007) <doi:10.1214/07-AOAS107> and Zhao and Udell (2019) <arxiv:1910.12845> 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.
Authors:
mdgc_0.1.7.tar.gz
mdgc_0.1.7.tar.gz(r-4.7-arm64)mdgc_0.1.7.tar.gz(r-4.7-x86_64)mdgc_0.1.7.tar.gz(r-4.6-arm64)mdgc_0.1.7.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
mdgc/json (API)
NEWS
| # Install 'mdgc' in R: |
| install.packages('mdgc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/boennecd/mdgc/issues
Last updated from:187b9760d7. Checks:4 NOTE, 1 OK, 1 FAIL. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 196 | ||
| linux-devel-x86_64 | NOTE | 195 | ||
| source / vignettes | OK | 232 | ||
| linux-release-arm64 | NOTE | 193 | ||
| linux-release-x86_64 | NOTE | 189 | ||
| wasm-release | FAIL | 119 |
Exports:get_mdgcget_mdgc_log_mlmdgcmdgc_fitmdgc_imputemdgc_log_mlmdgc_start_value
Dependencies:BHbriocallrclicrayondescdiffobjevaluatefsgluejsonlitelatticelifecyclemagrittrMatrixpkgbuildpkgloadpraiseprocessxpspsqnR6RcppRcppArmadilloRcppEigenrlangrprojroottestthatwaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mdgc: Missing Data imputation using Gaussian Copulas | mdgc-package _PACKAGE |
| Get mdgc Object | get_mdgc |
| Get Pointer to C++ Object to Approximate the Log Marginal Likelihood | get_mdgc_log_ml get_mdgc_log_ml.data.frame get_mdgc_log_ml.default get_mdgc_log_ml.mdgc |
| Perform Model Estimation and Imputation | mdgc |
| Estimate the Model Parameters | mdgc_fit |
| Impute Missing Values | mdgc_impute |
| Evaluate the Log Marginal Likelihood and Its Derivatives | mdgc_log_ml |
| Get Starting Value for the Covariance Matrix Using a Heuristic | mdgc_start_value mdgc_start_value.default mdgc_start_value.mdgc |
