Result for 2D97A6D95D65231E3AC867A5D3B05E1857467F0D

Query result

Key Value
FileName./usr/lib64/R/library/msm/help/msm.rdx
FileSize1520
MD57365FB8794692E8C852B53DBFC904E14
SHA-12D97A6D95D65231E3AC867A5D3B05E1857467F0D
SHA-256164A8F8EE1C9C38BA300882EA5EC267D6FB79CB3D09E27694A61E5B1378C5C6A
SSDEEP24:XXdODvUNOPu+VM1Dz9YBBFC3fg764rbGw7hrq3b4MeL2cK8:XXsgNOPrc+dCArbGw7hr2bqQ8
TLSHT122312990367DDAF12137F1C0BE8E70B4B3112E14A4B47389550CA98A5FAC8D7E1523A9
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
MD5B811B0AC1F62D1C011261A462D4F2356
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
PackageReleaselp153.1.1
PackageVersion1.6.9
SHA-19F06908ABD9901D04AA131E20C0AB9E67173DD4D
SHA-256D10855D6ED1A59EE2DFCAE82EF4C986084F312A6D7338BE82CECE1971257A664