Result for 02A413F3F2A248A747CEC5931B164D5DEF484B4B

Query result

Key Value
FileName./usr/lib/R/site-library/msm/help/msm.rdx
FileSize1500
MD5DF477432F6974EA76645AD3EAD2CAF4A
SHA-102A413F3F2A248A747CEC5931B164D5DEF484B4B
SHA-2564ED59157D3FB0D30F1DB221F543D2E670B591CE43BD425963294AE0A72BD10D1
SSDEEP24:X6wOiOERYQZjOx8/H5hutRBaoF7UWDPB9pYKjzxBOnMHNy8pKjVS4UqxtUfjfcUX:X6HVERNI8x4tna4jzp/PxBOiNy8pmQqk
TLSHT16D3119844C048E7C681C73BF9D320353A61A0F4CD0439B58B98CD95318AAD2FC9AFBC9
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
FileSize1051926
MD547CF850E956A45D7B721BF59A880189D
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-12FEFD1AD90D3767282BA81BB41907C112799FD3A
SHA-256A6880422FC335CAA640D31498DC50176DCCEE70BEFDA500724D8699B903B9282