Key | Value |
---|---|
FileName | ./usr/lib/R/library/msm/DESCRIPTION |
FileSize | 1138 |
MD5 | F3628CAFFDC542A11D91A13A417AB84A |
SHA-1 | 54F3CDA59EFC4CC7C1E728FB467965114B8CE93F |
SHA-256 | C15B22623F390DB8D7B9F8F9FF970BF1517755D8813A81B173C339D0F27230BE |
SSDEEP | 24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMy24k:YGkGuSuZS6l+HhzwszyJt |
TLSH | T19B2111C4E5A414842AC3015AB72D37A517BF93207782843E1327835DBB6952E639F7A4 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | 1D1342AA7C56F1294B42CAD92A74CB5C |
PackageArch | i586 |
PackageDescription | Functions 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. |
PackageName | R-msm |
PackageRelease | 2.236 |
PackageVersion | 1.4 |
SHA-1 | 85C04B614CA326DA7982F7778C88B3FB426CBA28 |
SHA-256 | 048F09E1927D7D5CE9569A672BE7DB86B0BF4658BD055C2736735BD367B088BC |