r-cran-amelia 1.7.4-1build1 source package in Ubuntu


r-cran-amelia (1.7.4-1build1) artful; urgency=medium

  * No-change rebuild to pick up r-api-3.4

 -- Graham Inggs <email address hidden>  Thu, 28 Sep 2017 11:05:49 +0000

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Uploaded by:
Graham Inggs on 2017-09-28
Uploaded to:
Original maintainer:
Chris Lawrence
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release on 2017-10-24 universe gnu-r
Artful release on 2017-10-03 universe gnu-r


File Size SHA-256 Checksum
r-cran-amelia_1.7.4.orig.tar.gz 1.2 MiB cd01b0e261a4256a047b816faa32250c997828ae1e42fc0fe1f7e45eb418c570
r-cran-amelia_1.7.4-1build1.debian.tar.xz 4.8 KiB ba71e8ca0b90afb9b782e801f2da2e4038024b535304b6a388239cedd365b95a
r-cran-amelia_1.7.4-1build1.dsc 1.8 KiB 089eb515ba338137609463dd15f8b4cb8e1cfd3829219bcd8f9476a315deffa5

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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 our 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