r-cran-amelia 1.8.1-2 source package in Ubuntu

Changelog

r-cran-amelia (1.8.1-2) unstable; urgency=medium

  * Do not symlink PDF.  R users know where to find docs anyway.
    Closes: #1036600
  * Standards-Version: 4.6.2 (routine-update)

 -- Andreas Tille <email address hidden>  Wed, 24 May 2023 09:56:43 +0200

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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
Oracular release universe gnu-r
Noble release universe gnu-r
Mantic release universe gnu-r

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File Size SHA-256 Checksum
r-cran-amelia_1.8.1-2.dsc 2.1 KiB eaadb2cc9a2f24bc6d1c27beef0200a49507ab34c5d1242998b5c7a7f9853690
r-cran-amelia_1.8.1.orig.tar.gz 1.5 MiB 120ce62a2acfc845dbeb155ce3f33b41ebad324bc73693a918a95194a9fc47e4
r-cran-amelia_1.8.1-2.debian.tar.xz 4.1 KiB 7962bcd12e3dd823da98882ad1e502ce04d80c1867b984eb30fba855389b3cf3

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