Implements a new multiple imputation method that draws imputations from a latent joint multivariate normal model which underpins generally structured data. This model is constructed using a sequence of flexible conditional linear models that enables the resulting procedure to be efficiently implemented on high dimensional datasets in practice. See Robbins (2021) <doi:10.48550/arXiv.2008.02243>.
Version: 0.1.9 Depends: R (≥ 2.10) Imports: base, DescTools, graphics, grDevices, lattice, MASS, mvtnorm, openxlsx, parallel, pbapply, stats, truncnorm, utils Suggests: dplyr, knitr, mice, rmarkdown, testthat (≥ 2.1.0) Published: 2023-01-12 DOI: 10.32614/CRAN.package.gerbil Author: Michael Robbins [aut, cre], Max Griswold [ctb], Pedro Nascimento de Lima [ctb] Maintainer: Michael Robbins <mrobbins at rand.org> License: GPL-2 NeedsCompilation: no Materials: README NEWS In views: MissingData CRAN checks: gerbil results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gerbil to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4