r-cran-clubsandwich 0.5.3-1 source package in Ubuntu

Changelog

r-cran-clubsandwich (0.5.3-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.5.1 (routine-update)

 -- Andreas Tille <email address hidden>  Sun, 24 Jan 2021 08:51:58 +0100

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
Impish release universe misc
Hirsute release universe misc

Builds

Hirsute: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-clubsandwich_0.5.3-1.dsc 2.2 KiB 99b6851c30b765da604f0b4e54a68d2888fe50606bbf558f9a537bccd2234e82
r-cran-clubsandwich_0.5.3.orig.tar.gz 330.4 KiB 96a5b1aec0a9cf4c568982de8c05624a27960f26c9ead250b1652d14d47c5f49
r-cran-clubsandwich_0.5.3-1.debian.tar.xz 3.0 KiB d2e71538867075ce6235bf190d71fd864e3efdfffa4b69fb00a5b47b0e58d6f9

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').