r-cran-amelia 1.8.1-1 source package in Ubuntu

Changelog

r-cran-amelia (1.8.1-1) unstable; urgency=medium

  * Team upload
  * Disable reprotest
  * Standards-Version: 4.6.1 (routine-update)
  * dh-update-R to update Build-Depends (routine-update)
  * lintian-overrides (see lintian bug #1017966)

 -- Andreas Tille <email address hidden>  Wed, 23 Nov 2022 11:47:26 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe gnu-r

Downloads

File Size SHA-256 Checksum
r-cran-amelia_1.8.1-1.dsc 2.1 KiB 632169fbb32691a1aefac1489d18cf6b6e524521b4e4f34a69c80c72b7b1a32a
r-cran-amelia_1.8.1.orig.tar.gz 1.5 MiB 120ce62a2acfc845dbeb155ce3f33b41ebad324bc73693a918a95194a9fc47e4
r-cran-amelia_1.8.1-1.debian.tar.xz 4.1 KiB 41241bb87971304a2d7a5ef87a891a820d1734de7332fb7a77e9cf7e42395a73

Available diffs

No changes file available.

Binary packages built by this source

r-cran-amelia: GNU R package supporting multiple imputation of missing data

 Amelia II "multiply imputes" missing data in a single cross-section
 (such as a survey), from a time series (like variables collected for
 each year in a country), or from a time-series-cross-sectional data
 set (such as collected by years for each of several
 countries). Amelia II implements a bootstrapping-based algorithm
 that gives essentially the same answers as the standard IP or EMis
 approaches, is usually considerably faster than existing approaches
 and can handle many more variables.
 .
 The program also generalizes existing approaches by allowing for
 trends in time series across observations within a cross-sectional
 unit, as well as priors that allow experts to incorporate beliefs
 they have about the values of missing cells in their data. Amelia II
 also includes useful diagnostics of the fit of multiple imputation
 models. The program works from the R command line or via a graphical
 user interface that does not require users to know R.

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