Key | Value |
---|---|
FileName | ./usr/lib64/R/library/msm/DESCRIPTION |
FileSize | 1140 |
MD5 | FAFAA997DF694DB307239D891A794FB2 |
SHA-1 | 17FF304659E840F89F7CD3C16BDDE51477036939 |
SHA-256 | 449D95677B625CAB9579979D5382813800F1EAD5AEF4BEFFB780F816131A8A06 |
SSDEEP | 24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMyvFO:YGkGuSuZS6l+HhzwszyJmO |
TLSH | T1532141C0E5A514842AC3014BB73D376527BF93203782843E1326835CBB6A52E639F7A4 |
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 | 39B6419F110985D4DE9880D6077937C0 |
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 | 2.236 |
PackageVersion | 1.4 |
SHA-1 | 28B5EB8288A50F225E5492A6BF1100FCCECD2C22 |
SHA-256 | D278561D8FDF12F5CDD28CDEC5F16FCEE190D677F265EF30494AA29C4078F569 |