Result for 25E4AB981C3CFA099C6DFA13EB52A5495209C1F2

Query result

Key Value
FileName./usr/lib/R/site-library/msm/DESCRIPTION
FileSize1146
MD5D4AE2A36B3391C876B7182947577C992
SHA-125E4AB981C3CFA099C6DFA13EB52A5495209C1F2
SHA-256A8CE6A3BA0ABA52E0515E8BDC2673A31036076CCFEEA81085855BDC19956DEB5
SSDEEP24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMyLjdU/Bk:YGkGuSuZS6l+HhzwszyJIxU/a
TLSHT1A92114C4E5A9149429C3014BA73E276127BF932077C2807E0316835DBB5A51A739F7A4
hashlookup:parent-total1
hashlookup:trust55

Network graph view

Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1002904
MD52CAC2CCCCBA77E966F4DEA7D26C189F9
PackageDescriptionGNU R Multi-state Markov and hidden Markov models in continuous time 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 modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-msm
PackageSectiongnu-r
PackageVersion1.4-2
SHA-134E0C5A2550E2FCD9B58E9F3628AD2CAAB4E721B
SHA-25675A7BA4A3815C6D249D668859C69FDD5B0E739A0DCC9DA7EC93141886A959361