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 [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-prerel: 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-prerel (arm64): binomialtrend_0.0.0.3.tgz, r-release (arm64): binomialtrend_0.0.0.3.tgz, r-oldrel (arm64): binomialtrend_0.0.0.3.tgz, r-prerel (x86_64): binomialtrend_0.0.0.3.tgz, r-release (x86_64): binomialtrend_0.0.0.3.tgz

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