The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

binomialtrend: Calculates the Statistical Significance of a Trend in a Set of Measurements

Detection of a statistically significant trend in the data provided by the user. This is based on the a signed test based on the binomial distribution. The package returns a trend test value, T, and also a p-value. A T value close to 1 indicates a rising trend, whereas a T value close to -1 indicates a decreasing trend. A T value close to 0 indicates no trend. There is also a command to visualize the trend. A test data set called gtsa_data is also available, which has global mean temperatures for January, April, July, and October for the years 1851 to 2022. Reference: Walpole, Myers, Myers, Ye. (2007, ISBN: 0-13-187711-9).

Version: 0.0.0.3
Depends: R (≥ 2.10)
Imports: pheatmap
Published: 2022-12-19
Author: Matthew Cserhati ORCID iD [aut, cre]
Maintainer: Matthew Cserhati <csmatyi at protonmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: binomialtrend results

Documentation:

Reference manual: binomialtrend.pdf

Downloads:

Package source: binomialtrend_0.0.0.3.tar.gz
Windows binaries: r-devel: binomialtrend_0.0.0.3.zip, r-release: binomialtrend_0.0.0.3.zip, r-oldrel: binomialtrend_0.0.0.3.zip
macOS binaries: r-release (arm64): binomialtrend_0.0.0.3.tgz, r-oldrel (arm64): binomialtrend_0.0.0.3.tgz, r-release (x86_64): binomialtrend_0.0.0.3.tgz, r-oldrel (x86_64): binomialtrend_0.0.0.3.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=binomialtrend to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.