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
MD5	4489ADFCCB3404C627C1EF578BA214A6
PackageArch	ppc64
PackageDescription	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	Koji
PackageName	R-msm
PackageRelease	3.fc15
PackageVersion	0.9.5
SHA-1	025FD15C226BD53B5BE01C68DDD7804BA3BCB79E
SHA-256	F40B859EB3813710CBC6ADA3EAAB5DBDD0EF8BA603D35F08575AA9CBEB7E9E8C

Key	Value
MD5	174E60266B811BE1282E754B5859EEE3
PackageArch	ppc
PackageDescription	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	Koji
PackageName	R-msm
PackageRelease	3.fc15
PackageVersion	0.9.5
SHA-1	13961E5A167EF10AA8CA29D991445C7BAB79EE36
SHA-256	389B484CA0391FE07D57CA667FF24045748BF4D6826C8B2D671423AE2E2D67A6

Key	Value
MD5	69B38ED80279F8962CECCC07553EA406
PackageArch	ppc64
PackageDescription	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	Koji
PackageName	R-msm
PackageRelease	3.fc15
PackageVersion	0.9.5
SHA-1	51832FE3BA4A06DB4A9F4CB2E2BA22B272F40BB7
SHA-256	BF41A9FA6DC0AD7159968E6C99993EB3E7A450D6E3918FA41A532E6D7EF2EB09

Key	Value
MD5	CF1C7CA6ADB2206F10335A9035B214C3
PackageArch	s390
PackageDescription	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	Fedora Project
PackageName	R-msm
PackageRelease	3.fc15
PackageVersion	0.9.5
SHA-1	899F771E8D62486FAA4808C88EAB2B988A4B75CD
SHA-256	D2B36E6170685A2F56D1ACC740B90BE964901561DF28F9BA5B1E5008DFAC35FF

Key	Value
MD5	1E0CBA8A32749A6C08DB8846D78DC2EE
PackageArch	ppc
PackageDescription	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	Koji
PackageName	R-msm
PackageRelease	3.fc15
PackageVersion	0.9.5
SHA-1	F58F8BEE5D6417DB4D5795AC04720C41115B53F6
SHA-256	EA548C6A776E8923F214F5F2CF0BA932839268F21CFCA3509192933E5C56ED04

Key	Value
MD5	3965084D465064F02B56E2D8E479AD70
PackageArch	s390x
PackageDescription	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	Fedora Project
PackageName	R-msm
PackageRelease	3.fc15
PackageVersion	0.9.5
SHA-1	BE4D9C95883B5CEA924467AA5BEC6FDA0BCE8B8E
SHA-256	D74AF22406830A52B3DD676C9415E9202595113221BB1C7E6C14D7577B3574A8