r-cran-afex 0.26-0-1 source package in Ubuntu
Changelog
r-cran-afex (0.26-0-1) unstable; urgency=medium * Team upload. * New upstream version * Standards-Version: 4.5.0 (routine-update) * Set upstream metadata fields: Archive, Bug-Database, Bug-Submit, Repository, Repository-Browse. -- Andreas Tille <email address hidden> Wed, 22 Jan 2020 21:34:35 +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 | Published | Component | Section | |
---|---|---|---|---|
Focal | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-cran-afex_0.26-0-1.dsc | 2.2 KiB | 651954ae24b6a36304becb733ab53b4cd4a9fe3b4d4fcd2521cbf04313a180d0 |
r-cran-afex_0.26-0.orig.tar.gz | 4.5 MiB | 2e860c54888ca31e5c9ea084bd5282209cb1dab7283a04241d5785f9b60e7740 |
r-cran-afex_0.26-0-1.debian.tar.xz | 5.4 KiB | 1c1fd456182c37b3759df73e7c8bc7ddda6b6b81c71e94aa4b1d92ca945ca499 |
Available diffs
- diff from 0.25-1-1 to 0.26-0-1 (1.2 MiB)
No changes file available.
Binary packages built by this source
- r-cran-afex: GNU R package for analyzing factorial experiments using ANOVA or mixed models
The r-cran-afex package is a GNU R package providing convenience
functions for analyzing factorial experiments using ANOVA or mixed
models. aov_ez(), aov_car(), and aov_4() allow specification of between,
within (i.e., repeated- measures), or mixed between-within (i.e., split-
plot) ANOVAs for data in long format (i.e., one observation per row),
potentially aggregating multiple observations per individual and cell of
the design. mixed() fits mixed models using lme4::lmer() and computes
p-values for all fixed effects using either Kenward-Roger approximation
for degrees of freedom (LMM only), parametric bootstrap (LMMs and
GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3
sums of squares as default (imitating commercial statistical software).