Key | Value |
---|---|
FileName | ./usr/lib64/R/library/msm/DESCRIPTION |
FileSize | 1140 |
MD5 | E73A207B9F1DC422FAAB6E4C4FBF8BD4 |
SHA-1 | 5472B9DD9D6009782ED839DF69EE210331617E21 |
SHA-256 | C7D04BE2E2BE1075ECF737B45D694163FAF9327C0038DEB0144E2113CA06B16A |
SSDEEP | 24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMyP:YGkGuSuZS6l+HhzwszyJQ |
TLSH | T1CF2141C0E5A414842AC3015BAB3D376516AF93207782803E1326835CBB6652E639F7A0 |
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 | A5F828AE824CE81BA084A7809D7B92A9 |
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 | lp152.2.14 |
PackageVersion | 1.4 |
SHA-1 | 99B1DD82FAA7EEA16FC27F12F68108EB332A71C7 |
SHA-256 | 0F0875873D12E00FDAC94B6098635073A8D86FD54C0BCEAABD1AD60DF756A063 |