Result for 5472B9DD9D6009782ED839DF69EE210331617E21

Query result

Key Value
FileName./usr/lib64/R/library/msm/DESCRIPTION
FileSize1140
MD5E73A207B9F1DC422FAAB6E4C4FBF8BD4
SHA-15472B9DD9D6009782ED839DF69EE210331617E21
SHA-256C7D04BE2E2BE1075ECF737B45D694163FAF9327C0038DEB0144E2113CA06B16A
SSDEEP24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMyP:YGkGuSuZS6l+HhzwszyJQ
TLSHT1CF2141C0E5A414842AC3015BAB3D376516AF93207782803E1326835CBB6652E639F7A0
hashlookup:parent-total1
hashlookup:trust55

Network graph view

Parents (Total: 1)

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
MD5A5F828AE824CE81BA084A7809D7B92A9
PackageArchx86_64
PackageDescriptionFunctions 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.
PackageNameR-msm
PackageReleaselp152.2.14
PackageVersion1.4
SHA-199B1DD82FAA7EEA16FC27F12F68108EB332A71C7
SHA-2560F0875873D12E00FDAC94B6098635073A8D86FD54C0BCEAABD1AD60DF756A063