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r-cran-mice package

r-cran-mice 3.16.0-1 source package in Ubuntu

Changelog

r-cran-mice (3.16.0-1) unstable; urgency=medium

  * Disable reprotest
  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)
  * dh-update-R to update Build-Depends (routine-update)
  * Set upstream metadata fields: Repository.

 -- Andreas Tille <email address hidden>  Mon, 26 Jun 2023 08:44:59 +0200

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc
Mantic release universe misc

Downloads

File Size SHA-256 Checksum
r-cran-mice_3.16.0-1.dsc 2.5 KiB 417312f3a8c7bf40e83a741708183f4c65b9a4428457dbf0041128d28ddbbc23
r-cran-mice_3.16.0.orig.tar.gz 586.4 KiB 29f0285185a540337e9dde2357690c82d174f115be701ee2f0a7083173a44040
r-cran-mice_3.16.0-1.debian.tar.xz 4.1 KiB 676a9344a5b245d5bc94beb859048cf6ca838f4c9f4a75fb6c99d1f193afa799

Available diffs

No changes file available.

Binary packages built by this source

r-cran-mice: GNU R multivariate imputation by chained equations

 Multiple imputation using Fully Conditional Specification (FCS)
 implemented by the MICE algorithm as described in Van Buuren and
 Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has
 its own imputation model. Built-in imputation models are provided for
 continuous data (predictive mean matching, normal), binary data (logistic
 regression), unordered categorical data (polytomous logistic regression)
 and ordered categorical data (proportional odds). MICE can also impute
 continuous two-level data (normal model, pan, second-level variables).
 Passive imputation can be used to maintain consistency between variables.
 Various diagnostic plots are available to inspect the quality of the
 imputations.

r-cran-mice-dbgsym: debug symbols for r-cran-mice