Result for 54F3CDA59EFC4CC7C1E728FB467965114B8CE93F

Query result

Key Value
FileName./usr/lib/R/library/msm/DESCRIPTION
FileSize1138
MD5F3628CAFFDC542A11D91A13A417AB84A
SHA-154F3CDA59EFC4CC7C1E728FB467965114B8CE93F
SHA-256C15B22623F390DB8D7B9F8F9FF970BF1517755D8813A81B173C339D0F27230BE
SSDEEP24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMy24k:YGkGuSuZS6l+HhzwszyJt
TLSHT19B2111C4E5A414842AC3015AB72D37A517BF93207782843E1327835DBB6952E639F7A4
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
MD51D1342AA7C56F1294B42CAD92A74CB5C
PackageArchi586
PackageDescriptionFunctions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. A variety of observation schemes are supported, including processes observed at arbitrary times (panel data), continuously-observed processes, and censored states. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
PackageNameR-msm
PackageRelease2.236
PackageVersion1.4
SHA-185C04B614CA326DA7982F7778C88B3FB426CBA28
SHA-256048F09E1927D7D5CE9569A672BE7DB86B0BF4658BD055C2736735BD367B088BC