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ROOPSD  

R Object Oriented Programming for Statistical Distribution
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ROOPSD", "0.3.9")



Attach the package and use:
library("ROOPSD")
Maintained by
Yoann Robin
[Scholar Profile | Author Map]
First Published: 2020-08-26
Latest Update: 2023-09-11
Description:
Statistical distribution in OOP (Object Oriented Programming) way. This package proposes a R6 class interface to classic statistical distribution, and new distributions can be easily added with the class AbstractDist. A useful point is the generic fit() method for each class, which uses a maximum likelihood estimation to find the parameters of a dataset, see, e.g. Hastie, T. and al (2009) . Furthermore, the rv_histogram class gives a non-parametric fit, with the same accessors that for the classic distribution. Finally, three random generators useful to build synthetic data are given: a multivariate normal generator, an orthogonal matrix generator, and a symmetric positive definite matrix generator, see Mezzadri, F. (2007) .
How to cite:
Yoann Robin (2020). ROOPSD: R Object Oriented Programming for Statistical Distribution. R package version 0.3.9, https://cran.r-project.org/web/packages/ROOPSD. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.2.5 (2020-08-26 13:10), 0.3.8 (2022-10-08 16:30)
Other packages that cited ROOPSD R package
View ROOPSD citation profile
Other R packages that ROOPSD depends, imports, suggests or enhances
Complete documentation for ROOPSD
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