Key | Value |
---|---|
FileName | ./usr/lib64/R/library/msm/DESCRIPTION |
FileSize | 1140 |
MD5 | 59EFBC02723786DA6188F219FE7F0662 |
SHA-1 | 3E39405CF765CDF803166823171FFD42190F11D3 |
SHA-256 | 6D45E3769359C4FA0D6B1D5D0B01B2649F5A38F3C9F1FE68E17E8D60E9565056 |
SSDEEP | 24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMy3:YGkGuSuZS6l+HhzwszyJU |
TLSH | T1802141C0E5A414842AC3015BAB3D37A517AF93203782803E1326C35CBB6652E639F7A0 |
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 | 4FE3515A2156FF32E8EE00382D583BC7 |
PackageArch | x86_64 |
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 | 2.15 |
PackageVersion | 1.4 |
SHA-1 | 354D89F443AFE6543BCB215821E6E2210F3BFCB4 |
SHA-256 | CFB0B2A5BFCFDE134F6AF026C97A56275CB6F5F5F6FC6A72FDD7450281BE6E7E |