r-cran-matchit 3.0.1-1 source package in Ubuntu

Changelog

r-cran-matchit (3.0.1-1) unstable; urgency=medium

  * Team upload.
  * New upstream version
  * Moved packaging Debian Science to Git
  * Debian Science team maintenance
  * cme fix dpkg-control
  * Standards-Version: 4.1.2
  * debhelper 10
  * Convert packaging from cdbs to dh-r
  * Secure URI in watch file
  * Rename source package to r-cran-matchit
  * Canonical homepage for CRAN packages
  * Add autopkgtest
  * DEP5
  * New Build-Depends: r-cran-rgenoud, r-cran-matching

 -- Andreas Tille <email address hidden>  Mon, 18 Dec 2017 08:01:46 +0100

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release universe misc

Builds

Bionic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-matchit_3.0.1-1.dsc 2.2 KiB 52782756758e1bb1b35a32fb91524707e6f12dec40b3f2a70f45022b89f40083
r-cran-matchit_3.0.1.orig.tar.gz 310.6 KiB 7ccd926619326e8b8deb43d021750696177b7e69954a35deddaa696d90b02e46
r-cran-matchit_3.0.1-1.debian.tar.xz 2.7 KiB 666477923a8bb3c06a7d0d2348facdf2281f6e8f61714c1ae9c80f66cf16d20a

No changes file available.

Binary packages built by this source

r-cran-matchit: GNU R package of nonparametric matching methods

 MatchIt implements the suggestions of Ho, Imai, King, and Stuart
 (2004) for improving parametric statistical models by preprocessing
 data with nonparametric matching methods.
 .
 MatchIt implements a wide range of sophisticated matching methods,
 making it possible to greatly reduce the dependence of causal
 inferences on hard-to-justify, but commonly made, statistical
 modeling assumptions. The software also easily fits into existing
 research practices since, after preprocessing with MatchIt,
 researchers can use whatever parametric model they would have used
 without MatchIt, but produce inferences with substantially more
 robustness and less sensitivity to modeling assumptions. MatchIt is
 an R program, and also works seamlessly within Zelig.