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r-cran-clubsandwich package

r-cran-clubsandwich 0.5.10-1 source package in Ubuntu

Changelog

r-cran-clubsandwich (0.5.10-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)

 -- Andreas Tille <email address hidden>  Fri, 21 Jul 2023 14:27:49 +0200

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

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc
Mantic release universe misc

Builds

Mantic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-clubsandwich_0.5.10-1.dsc 2.4 KiB e742b97b39136d08847c8f1fc92f21bea30c22cd000730391894caea14b0d183
r-cran-clubsandwich_0.5.10.orig.tar.gz 336.1 KiB daf0b372f0e6aae141d45b78b69c6f680c774f201691a1333400073001c6a463
r-cran-clubsandwich_0.5.10-1.debian.tar.xz 3.5 KiB b5d88e09c78b7e29d48ce64292649c9201c0850743f9315a735d1ef68cece295

Available diffs

No changes file available.

Binary packages built by this source

r-cran-clubsandwich: GNU R cluster-robust (Sandwich) variance estimators with small-sample

 Corrections Provides several cluster-robust variance estimators
 (i.e., sandwich estimators) for ordinary and weighted least
 squares linear regression models, including the bias-reduced
 linearization estimator introduced by Bell and McCaffrey (2002)
 <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf>
 and developed further by Pustejovsky and Tipton (2017)
 <DOI:10.1080/07350015.2016.1247004>. The package includes
 functions for estimating the variance- covariance matrix and for
 testing single- and multiple- contrast hypotheses based on Wald
 test statistics. Tests of single regression coefficients use
 Satterthwaite or saddle-point corrections. Tests of multiple-contrast
 hypotheses use an approximation to Hotelling's T-squared
 distribution. Methods are provided for a variety of fitted models,
 including lm() and mlm objects, glm(), ivreg() (from package
 'AER'), plm() (from package 'plm'), gls() and lme() (from 'nlme'),
 robu() (from 'robumeta'), and rma.uni() and rma.mv() (from
 'metafor').