How to Install and Uninstall r-cran-fitdistrplus Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: October 07,2024

1. Install "r-cran-fitdistrplus" package

Here is a brief guide to show you how to install r-cran-fitdistrplus on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-fitdistrplus" package

This guide covers the steps necessary to uninstall r-cran-fitdistrplus on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-cran-fitdistrplus package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-fitdistrplus
Architecture: all
Version: 1.1-1-1build1
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: 3472
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, r-cran-survival
Recommends: r-cran-rgenoud
Suggests: r-cran-actuar, r-cran-knitr, r-cran-ggplot2
Filename: pool/universe/r/r-cran-fitdistrplus/r-cran-fitdistrplus_1.1-1-1build1_all.deb
Size: 2666764
MD5sum: 13b62beed1706b668248fefd2826d03c
SHA1: 36ac2c66adda0b9764cd3470d32f30537e074729
SHA256: 0ee1d759215103cd4ea9d603270fe50efedcb8e645f6b38c163ceb78bb6003c0
SHA512: 5c11882baa8338d403b37640aa36400a7221e2a07ee8ca90e5841d35d38db62267d2e6f2f912f7ac9469f4f9b63544279551206a58f86bde3b062f2b7dbc0533
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