Personal tools

Log in: Login Name

Password

Cookies are not enabled. You must enable cookies before you can log in.; Forgot your password?; New user?

Recent RPM Changes: python3-pulpcore-3.50.1-1.lbn36.noarch Apr 10, 2024; python3-pulp-rpm-3.25.2-1.lbn36.noarch Apr 10, 2024; python3-pulp-python-3.11.0-1.lbn36.noarch Apr 10, 2024; python3-pulp-npm-0.1.0a4-1.lbn36.noarch Apr 10, 2024; python3-pulp-maven-0.8.0-1.lbn36.noarch Apr 10, 2024; python3-pulp-maven-0.8.0-1.lbn36.noarch Apr 10, 2024; python3-pulp-deb-3.2.0-1.lbn36.noarch Apr 10, 2024; python3-pulp-container-2.19.2-1.lbn36.noarch Apr 10, 2024; python3-pulp-cli-0.24.1-1.lbn36.noarch Apr 10, 2024; python3-pulp-ansible-0.21.3-1.lbn36.noarch Apr 10, 2024; Subscribe RSS…

You are here: Home / LBN / Up2date / Big Data / BastionLinux 25 / R-msm-1.6.4-3.lbn25.x86_64

R-msm-1.6.4-3.lbn25.x86_64

Package Attributes

RPM R-msm-1.6.4-3.lbn25.x86_64.rpm

Architecture x86_64

Size 1554083

Created 2021/11/29 02:43:15 UTC

Package Specification

Summary	Multi-state Markov and hidden Markov models in continuous time
Group	Applications/Engineering
License	GPLv2+
Home Page	http://cran.r-project.org/web/packages/msm/
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.
Requires	rtld(GNU_HASH) libquadmath.so.0()(64bit) R-survival R-mvtnorm rpmlib(PayloadFilesHavePrefix) rpmlib(FileDigests) rpmlib(CompressedFileNames) R-core libgfortran.so.5()(64bit) rpmlib(PayloadIsXz) libRblas.so()(64bit) R-expm
Provides	R-msm R-msm(x86-64)