Key | Value |
---|---|
FileName | ./usr/lib64/R/library/msm/DESCRIPTION |
FileSize | 1140 |
MD5 | ED8D7C89DF5DDD43677B3AC6199846D9 |
SHA-1 | 1EC49978DA4A03AC32255683604DE78E48442D6E |
SHA-256 | A764DE6F15E218A44A92EC810612BDE1E410B2596F066AB2A1E7A9D9D18A6300 |
SSDEEP | 24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMyM:YGkGuSuZS6l+HhzwszyJ7 |
TLSH | T1EB2141C0E5A414842AC3015BAB3D376517AF93203792803E1326835DBB6652E639F7A0 |
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 | 8DC8D7500D7E052CB058AF3DB8FB3A34 |
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 | lp150.2.49 |
PackageVersion | 1.4 |
SHA-1 | 7A26E16426B8140F7D81D3503D6DEE2EA3801B8B |
SHA-256 | 2E51325C06FEF5989080C84BA2687068C910308D3C7B690542F837310FD7FE12 |