Key | Value |
---|---|
FileName | ./usr/lib/R/library/msm/DESCRIPTION |
FileSize | 1138 |
MD5 | AE5C7C02036684D7EF7C043FF744465B |
SHA-1 | 1EFECBB1956DF3967CF8420777FA91E9E48399A0 |
SHA-256 | 10E2FFBD2C8F2F17B5C76831EC3D8C4AE3A59B8A9E79341D2C4F4077AC7C9BB9 |
SSDEEP | 24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMy8:YGkGuSuZS6l+HhzwszyJL |
TLSH | T15D2111C4E5A414882AC3015AB72D376517BF93207782943E1327835DBB6952E639F7A4 |
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 | 922F46BBD6F3D118FD467C87939598C4 |
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 | 04E6FF270AD98AC70572B0E0B6D007113AE2F5D6 |
SHA-256 | 0D4B96093B3E91B4E16EF02D404F5901E4D80C2414923ECCB5FFDE084853A304 |