How to Install and Uninstall R-msm.x86_64 Package on Fedora 34
Last updated: November 30,2024
1. Install "R-msm.x86_64" package
Please follow the steps below to install R-msm.x86_64 on Fedora 34
$
sudo dnf update
Copied
$
sudo dnf install
R-msm.x86_64
Copied
2. Uninstall "R-msm.x86_64" package
Please follow the instructions below to uninstall R-msm.x86_64 on Fedora 34:
$
sudo dnf remove
R-msm.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the R-msm.x86_64 package on Fedora 34
Last metadata expiration check: 3:06:37 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : R-msm
Version : 1.6.8
Release : 7.fc34
Architecture : x86_64
Size : 1.4 M
Source : R-msm-1.6.8-7.fc34.src.rpm
Repository : fedora
Summary : Multi-state Markov and hidden Markov models in continuous time
URL : http://cran.r-project.org/web/packages/msm/
License : GPLv2+ and GPLv3+
Description : Functions for fitting general continuous-time Markov and hidden Markov
: multi-state models to longitudinal data. Both Markov transition rates
: and the hidden Markov output process can be modeled in terms of
: covariates. A variety of observation schemes are supported, including
: processes observed at arbitrary times, completely-observed processes,
: and censored states.
Available Packages
Name : R-msm
Version : 1.6.8
Release : 7.fc34
Architecture : x86_64
Size : 1.4 M
Source : R-msm-1.6.8-7.fc34.src.rpm
Repository : fedora
Summary : Multi-state Markov and hidden Markov models in continuous time
URL : http://cran.r-project.org/web/packages/msm/
License : GPLv2+ and GPLv3+
Description : Functions for fitting general continuous-time Markov and hidden Markov
: multi-state models to longitudinal data. Both Markov transition rates
: and the hidden Markov output process can be modeled in terms of
: covariates. A variety of observation schemes are supported, including
: processes observed at arbitrary times, completely-observed processes,
: and censored states.