Key | Value |
---|---|
FileName | ./usr/lib/R/library/msm/R/msm.rdx |
FileSize | 3446 |
MD5 | 0A2733232DA66DA811AE6FA5E7346188 |
SHA-1 | 0EAA33EE5B07CC0545DC94DA13793F3A54CE71CC |
SHA-256 | 494C108344CF49F551E74F0F09F20CE81A26FC3FA4D0592BAE813B8A34C9809E |
SSDEEP | 96:BrZUHF+kCX4oWtz6ETrXIsNiD7TE3bOh3Fq51L+YcZ:Bm+k6yNrMD7oroq5dUZ |
TLSH | T14E614BCA91B17082D17DB2929F9C6331B0DFB262706C5D88EAC1E4A0635275A9E1FB81 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 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 |
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 |