r-cran-zelig 5.1.7-3 source package in Ubuntu

Changelog

r-cran-zelig (5.1.7-3) unstable; urgency=medium

  * Team upload.
  * Rebuild with r-base 4.2.0-1

 -- Nilesh Patra <email address hidden>  Sat, 30 Apr 2022 23:11:06 +0530

Upload details

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

See full publishing history Publishing

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Builds

Kinetic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-zelig_5.1.7-3.dsc 2.3 KiB 3fa488d24b0653c4ef1c990e37b0168e0423a0554c4e81e1acd8dd6c79dab289
r-cran-zelig_5.1.7.orig.tar.gz 736.3 KiB d3e6b816cbede846eb65b05a3a428af3426741f9d687e4c15afdaf0569653ff4
r-cran-zelig_5.1.7-3.debian.tar.xz 5.6 KiB d43c827e036d295998720c981ad44dce0296586f1cd9185e5071cdfc27ce964f

Available diffs

No changes file available.

Binary packages built by this source

r-cran-zelig: GNU R package providing a unified front-end for estimating statistical models

 With thousands of contributors who have written hundreds of packaged
 routines, R can deal with nearly any statistical problem. Although
 this high level of participation may be its greatest strength, the
 enormous diversity in approaches to statistical inference covered by
 R often results in a virtual babel of competing functions and
 inconsistent syntax.
 .
 To address these problems from a common perspective, the upstream
 authors have created Zelig, a single, easy-to-use program, with a
 unified framework and syntax, that can estimate, help interpret, and
 present the results of a large range of statistical methods. It
 literally is "everyone's statistical software" because Zelig uses R
 code from many researchers. They also hope it will become
 "everyone's statistical software" for applications, and they have
 designed it so that anyone can use it or add their methods to it.
 Zelig comes with detailed, self-contained documentation that
 minimizes startup costs for Zelig and R, automates graphics and
 summaries for all models, and, with only three simple commands
 required, generally makes the power of R accessible for all users.
 Zelig also works well for teaching, and is designed so that scholars
 can use the same program they use for their research.