r-cran-sjstats 0.17.7-1 source package in Ubuntu
Changelog
r-cran-sjstats (0.17.7-1) unstable; urgency=medium * New upstream version * dh-update-R to update Build-Depends -- Andreas Tille <email address hidden> Tue, 19 Nov 2019 23:32:45 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-sjstats_0.17.7-1.dsc | 2.4 KiB | 82411f6e969b49837291525f13d363d72ead0a42fe7931894a362629048e4bd9 |
| r-cran-sjstats_0.17.7.orig.tar.gz | 224.4 KiB | 8661fca49c6fd9853d42760a253a83336480520560fcad5c007721740ba03909 |
| r-cran-sjstats_0.17.7-1.debian.tar.xz | 2.8 KiB | df26399ae1209d91507cbae14f474e6a9e14aed2077e1632771fa33a1ce79d20 |
Available diffs
- diff from 0.17.5-1 to 0.17.7-1 (110.7 KiB)
- diff from 0.17.6-1 to 0.17.7-1 (72.2 KiB)
No changes file available.
Binary packages built by this source
- r-cran-sjstats: GNU R collection of convenient functions for statistical computations
Collection of convenient functions for common statistical computations,
which are not directly provided by R's base or stats packages.
This package aims at providing, first, shortcuts for statistical
measures, which otherwise could only be calculated with additional
effort (like standard errors or root mean squared errors). Second,
these shortcut functions are generic (if appropriate), and can be
applied not only to vectors, but also to other objects as well
(e.g., the Coefficient of Variation can be computed for vectors,
linear models, or linear mixed models; the r2()-function returns
the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects).
The focus of most functions lies on summary statistics or fit
measures for regression models, including generalized linear
models and mixed effects models. However, some of the functions
also deal with other statistical measures, like Cronbach's Alpha,
Cramer's V, Phi etc.
