Package: binomialtrend
Title: Calculates the Statistical Significance of a Trend in a Set of
        Measurements
Version: 0.0.0.3
Authors@R: 
    person("Matthew", "Cserhati", email="csmatyi@protonmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-3673-9152"))
Description: 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).
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 2.10)
LazyData: true
Imports: pheatmap
NeedsCompilation: no
Packaged: 2022-12-16 16:58:57 UTC; CSERHMX
Author: Matthew Cserhati [aut, cre] (<https://orcid.org/0000-0002-3673-9152>)
Maintainer: Matthew Cserhati <csmatyi@protonmail.com>
Repository: CRAN
Date/Publication: 2022-12-19 09:30:06 UTC
Built: R 4.6.0; ; 2026-04-27 15:03:30 UTC; unix
