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watson
View on CRAN: Click
here
Download and install watson package within the R console
Install from CRAN:
install.packages("watson")
Install from Github:
library("remotes")
install_github("cran/watson")
Install by package version:
library("remotes")
install_version("watson", "0.4")
Attach the package and use:
library("watson")
Maintained by
Lukas Sablica
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-26
Latest Update: 2023-06-01
Description:
Tools for fitting and simulating mixtures of Watson distributions. The random sampling scheme of the package offers two sampling algorithms that are based of the results of Sablica, Hornik and Leydold (2022) <https://research.wu.ac.at/en/publications/random-sampling-from-the-watson-distribution>. What is more, the package offers a smart tool to combine these two methods, and based on the selected parameters, it approximates the relative sampling speed for both methods and picks the faster one. In addition, the package offers a fitting function for the mixtures of Watson distribution, that uses the expectation-maximization (EM) algorithm. Special features are the possibility to use multiple variants of the E-step and M-step, sparse matrices for the data representation and state of the art methods for numerical evaluation of needed special functions using the results of Sablica and Hornik (2022) <https://www.ams.org/journals/mcom/2022-91-334/S0025-5718-2021-03690-X/>.
How to cite:
Lukas Sablica (2022). watson: Fitting and Simulating Mixtures of Watson Distributions. R package version 0.4, https://cran.r-project.org/web/packages/watson. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for watson
Functions, R codes and Examples using
the watson R package
Some associated functions: diam_clus . rmwat . watson .
Some associated R codes: RcppExports.R . watson.R . Full watson package functions and examples
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