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Thresher  

Threshing and Reaping for Principal Components
View on CRAN: Click here


Download and install Thresher package within the R console
Install from CRAN:
install.packages("Thresher")

Install from Github:
library("remotes")
install_github("cran/Thresher")

Install by package version:
library("remotes")
install_version("Thresher", "1.1.4")



Attach the package and use:
library("Thresher")
Maintained by
Kevin R. Coombes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-11
Latest Update: 2019-12-17
Description:
Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
How to cite:
Kevin R. Coombes (2018). Thresher: Threshing and Reaping for Principal Components. R package version 1.1.4, https://cran.r-project.org/web/packages/Thresher. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.12.3 (2018-04-11 10:12), 1.0.2 (2018-10-17 17:30), 1.1.0 (2019-03-07 16:42), 1.1.1 (2019-04-23 18:20), 1.1.2 (2019-05-06 20:30), 1.1.3 (2019-12-17 20:00)
Other packages that cited Thresher R package
View Thresher citation profile
Other R packages that Thresher depends, imports, suggests or enhances
Complete documentation for Thresher
Functions, R codes and Examples using the Thresher R package
Some associated functions: 00-generic-methods . 01-dataObjects . Reaper-class . SignalSet-class . SimThresher-class . Thresher-class . fit-or-miss-class . matchLabels . unitize . 
Some associated R codes: 01-labelMatcher.R . 02-thresher.R . 03-SimThesher.R . 04-reaper.R .  Full Thresher package functions and examples
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