Result for 01E6C96582899A8C96D5A8C2ED05F3864B501D57

Query result

Key Value
FileName./usr/lib/R/site-library/msm/R/msm.rdb
FileSize158997
MD5D7F35DCFB33C598B09E9691990EAF8E3
SHA-101E6C96582899A8C96D5A8C2ED05F3864B501D57
SHA-2560E8CAAB646FDD11FBB0C85B8E5AC6BAD90D083CB2EF745FAB661A784F670CC4F
SSDEEP3072:JuJdUxIXq1M9YSpOeY96G0JbpKzoqzW513Ps8M5ZTltAKUk4d+00Y:JadUqe19pEgMqC3s8WZTl++E
TLSHT14FF313B6CED8CDC35A71812D8A186E1BF68FB1DAFB1AB2015155D526188CF2036CDC6F
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
FileSize1055202
MD5467757F9801A613CF974E58D0E47AF4E
PackageDescriptionGNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-msm
PackageSectiongnu-r
PackageVersion1.6.4-1
SHA-1329A941CB0BE7AEF8B5B601D693071D949D7F512
SHA-2567EFCB863E6D2AFE18D616325A6282DCC909FDC7D9BCECD6AB0419A271140C261