Result for 0D4CE72B8D2FF65F8D81C3C253E858161A60494F

Query result

Key Value
FileName./usr/lib64/R/library/msm/DESCRIPTION
FileSize1092
MD5909DE637E208F9910FB6F39D6F2A1DA7
SHA-10D4CE72B8D2FF65F8D81C3C253E858161A60494F
SHA-256B000A9234BC9A5AFCA8107D42A613EEE282427C11084D5A1C51A2E65CD0ADD5A
SSDEEP24:YnjDvWkuHVUuHVSWQH+i1sBmicthGFbxycdiszGntGVtlaPhVrXG:YnjrjuSu+eQ5iLxws6kNaPPG
TLSHT18E1186C159F509D00BC706862F3E3BA41B298304BBC1C47D7A2AC24C4F1172E67DBBA4
hashlookup:parent-total1
hashlookup:trust55

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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
MD5225CB7695CCC006F0A6E98A6F8219221
PackageArchx86_64
PackageDescriptionFunctions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. 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
PackageReleaselp153.1.2
PackageVersion1.6.9
SHA-132581E3764DEBC5F1F771AADBDF7E4F84A3E1869
SHA-25642EA47808C1C7DE33DEF8ED06A3DDAD5AA2413911C15E6DB660EC77705455617