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

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