Result for 1202C85FBCCD9EBB8890F6B0D79BC8A7600D92A8

Query result

Key Value
FileName./usr/lib/R/site-library/msm/help/msm.rdx
FileSize1431
MD57E486FB4888A2962A1C2EC6BEB5956F8
SHA-11202C85FBCCD9EBB8890F6B0D79BC8A7600D92A8
SHA-25691D37FB4411A0CC2EBADC3CE28B9BED3206ED5DE031B824985C7F9F0EDFD4A07
SSDEEP24:X4WZDXZ4H+ZbVXj3duI5sjIxergyjbFEnOW/zZoBNuUJKIr9/0C47+ehcn:XR5Z4KbRj/5wbiOW/1KNXTrF0Hc
TLSHT1C321E94060682AC8EEE942352D0EC2EED4924697E11F4F553B78AE63C2F4A4DC31D584
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
FileSize1012410
MD51323949977436AB2AE4257109C2AFD5C
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
PackageVersion1.4-2
SHA-18455451B67212531009C0C4FC0DA38842B194C79
SHA-256B2E15804E086ECBD7B2DF70D88F6EE57F98AFBC32D39A73064B7F17A53BC1A9C