Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1006870
MD5	0182FCCE0ED07EEB122D5993946721FC
PackageDescription	GNU 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.
PackageMaintainer	Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-msm
PackageSection	gnu-r
PackageVersion	1.4-2
SHA-1	961F11458B9836E4CDAD53D1C0080BDB90C8262B
SHA-256	C233B886D437EF21E1E3922C8E15D139C0CFF619BEFF74018DB2ED5467AFF560

Key	Value
FileSize	1013530
MD5	CAAAA8E21260A4158B3EA2AD058B1EC3
PackageDescription	GNU 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.
PackageMaintainer	Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-msm
PackageSection	gnu-r
PackageVersion	1.4-2
SHA-1	DE3DED84749E941B2D9CCCF8C67D4F7B5970719C
SHA-256	DD46CBFAECCCAA8C71941276F6422AA9BAFC9C7563B6A178F966DA0144AAC1EE

Key	Value
FileSize	1037502
MD5	B0AF1162AFF7B497B8DD55FA291E609E
PackageDescription	GNU 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	r-cran-msm
PackageSection	gnu-r
PackageVersion	1.6-1
SHA-1	38CCBAAB7C83D81DE62B4CBDAABB0E9686D542BD
SHA-256	4E050F8AFB948621845BA78F2EDBFC4F8452C09A2E20FBDA3F18CAA62465CA19

Key	Value
FileSize	1002904
MD5	2CAC2CCCCBA77E966F4DEA7D26C189F9
PackageDescription	GNU 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.
PackageMaintainer	Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-msm
PackageSection	gnu-r
PackageVersion	1.4-2
SHA-1	34E0C5A2550E2FCD9B58E9F3628AD2CAAB4E721B
SHA-256	75A7BA4A3815C6D249D668859C69FDD5B0E739A0DCC9DA7EC93141886A959361

Key	Value
FileSize	1032638
MD5	5CD93018A76A5708835BD31FAE04F8F5
PackageDescription	GNU 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	r-cran-msm
PackageSection	gnu-r
PackageVersion	1.6-1
SHA-1	309431634F77C86D1BC77D585FC34BFCDEAF8303
SHA-256	413093862B82CB2DBD55F3C4734B47B3B11ABE093A14975B2BFE704CF848C482

Key	Value
FileSize	1012410
MD5	1323949977436AB2AE4257109C2AFD5C
PackageDescription	GNU 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.
PackageMaintainer	Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-msm
PackageSection	gnu-r
PackageVersion	1.4-2
SHA-1	8455451B67212531009C0C4FC0DA38842B194C79
SHA-256	B2E15804E086ECBD7B2DF70D88F6EE57F98AFBC32D39A73064B7F17A53BC1A9C