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 | Published | Component | Section | |
---|---|---|---|---|
Bionic | release | universe | misc |
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.