r-cran-amelia 1.7.6-1build2 source package in Ubuntu

Changelog

r-cran-amelia (1.7.6-1build2) groovy; urgency=medium

  * No-change rebuild against r-api-4.0

 -- Graham Inggs <email address hidden>  Sat, 30 May 2020 19:16:34 +0000

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

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Series Pocket Published Component Section

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r-cran-amelia_1.7.6.orig.tar.gz 1.3 MiB 63c08d374aaf78af46c34dc78da719b3085e58d9fabdc76c6460d5193a621bea
r-cran-amelia_1.7.6-1build2.debian.tar.xz 3.8 KiB 9367a3366f4ec646b11a01afa4464f865d0653db74b1f0b085aae7fdd47e798e
r-cran-amelia_1.7.6-1build2.dsc 2.1 KiB f0d1060d5b575a2650db6148496f5cad9fe0dcb43f1399ac255ceb1eefb47a04

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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 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