How to Install and Uninstall r-cran-fitdistrplus Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 15,2024

1. Install "r-cran-fitdistrplus" package

Please follow the steps below to install r-cran-fitdistrplus on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-cran-fitdistrplus

2. Uninstall "r-cran-fitdistrplus" package

This guide let you learn how to uninstall r-cran-fitdistrplus on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-cran-fitdistrplus $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-fitdistrplus package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-fitdistrplus
Architecture: all
Version: 1.1-3-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3511
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-mass, r-cran-survival
Recommends: r-cran-rgenoud
Suggests: r-cran-actuar, r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-hmisc
Filename: pool/universe/r/r-cran-fitdistrplus/r-cran-fitdistrplus_1.1-3-1_all.deb
Size: 2693360
MD5sum: 97c1ec4b10700cf4c2036031ce72e249
SHA1: 5f51628818c0bde1c7ed9b9cd0bd4642197f1422
SHA256: b8ebd32822435e362cef395307bf57a8af0313800e4c53f5f75194c5cb4561de
SHA512: ce4c8c52c824b6e23d9e8b54a49ba7f5c8c3407ed8cafec60bcf0fdf2ca0f411b1ac1700c17261f94357957d4a999ff95569352acbe38dcbf4e271907a991d7a
Homepage: https://cran.r-project.org/package=fitdistrplus
Description-en: support fit of parametric distribution
Extends the fitdistr() function (of the MASS package) with several
functions to help the fit of a parametric distribution to non-censored
or censored data. Censored data may contain left censored, right
censored and interval censored values, with several lower and upper
bounds. In addition to maximum likelihood estimation (MLE), the package
provides moment matching (MME), quantile matching (QME) and maximum
goodness-of-fit estimation (MGE) methods (available only for non-censored
data). Weighted versions of MLE, MME and QME are available. See
e.g. Casella & Berger (2002). Statistical inference. Pacific Grove.
Description-md5: 44cf108604350fbe5250e20d241b8fe9