Key | Value |
---|---|
FileName | ./usr/lib64/R/library/msm/R/msm.rdb |
FileSize | 513240 |
MD5 | A9ADD68703E38987AD9DA076E3C497C8 |
SHA-1 | 10BE8E31D8621655A211AE64045DC63C90DF4E20 |
SHA-256 | 58BB5E7AD2E5065CE18F87FFDB84C2705390BC3213AC7F57FB57CB3037B9718E |
SSDEEP | 12288:yxw0UpzE+fsgjfiG6BpMvE7+OIdF0Q3PLwryDREWAv50:yijtE+fszBpMv3OIdKQTwrWk2 |
TLSH | T16FB4232A6A51640D19E5ED6C1048739CAA3FA946FF0747707205C3E0F2B4336EEDBDA9 |
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 |