Result for 3FCF9CD7EA96A904E77D069C39F0C2F1E45D2BDA

Query result

Key Value
FileName./usr/lib/R/site-library/msm/R/msm.rdb
FileSize159010
MD5A61FF728C6543D143C29C4336A185E93
SHA-13FCF9CD7EA96A904E77D069C39F0C2F1E45D2BDA
SHA-25642C7C9596FB768FA37C7419B20582C5CE260963B1359A76470F61C6FB1DFEBC0
SSDEEP3072:xuBdWexIXq1M9YSpOeY96G0JbpKzovzW51EPs8YzJZT5tAfUk4d+00Y:xmdWeqe19pEgMvCIs8GJZTq++E
TLSHT118F312BACED8CCC356B181298D1C591BB6CF71D5FE1A71014459D526288CE203B8ED6F
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
FileSize1057890
MD525B579ADF83C3108FD0D1D1DB0A6EECC
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-14AB5C345E206CDB6C84034329692ECA4915BC8BD
SHA-256D16B9D5C8F87F132848F1DC99084235C0BB83F9E9E90413D4C9FDDA407957CB5